Everything you Need to Know About Performance Testing and its Challenges

Software testing plays a significant role along with software development in the SDLC (software development lifecycle). This process of testing involves the examination of the software developed to make sure that it is as per the needs defined and error-free for end users. Software testing broadly categorized into two significant types those are
• Functional testing
• Non-functional testing

Some of the popular functional testing types are Acceptance testing, Sanity, Integration, Unit, System, Interface, Regression, etc. Some of the most popular Non-functional testing types are Endurance, Localization, Recovery, Reliability, and Performance testing, etc.

In these testing types, Performance testing is one of the primary testing processes that play a crucial role by assuring the software performs with stability and seamless even beneath various load conditions.

Performance Testing
Performance testing is a significant non-functional testing type and includes the process by which an application or software is examined to know its present system performance.

This sort of testing examines how your present system performs in terms of stability and responsiveness when examined below different workload conditions. Performance testing also assures that the application works as anticipated irrespective of the bandwidth availability and network fluctuations. Primarily, this process of testing identifies the speed with which the system works.

There are different types of performance testing that are usually adopted which comprise Load testing, Volume testing, Stress testing, Soak testing, Spike testing, Scalability testing, etc. and these testing processes determine the speed, and responsiveness of the app, the website, or the network when examined below the various workloads.

Importance of Performance Testing in Business Websites and Mobile Apps
Performance testing measures the scalability, speed, stability, and reliability of the software beneath varying loads thus assuring their stable performance. Every business application must be reliable and deliver steady results, irrespective of the number of users who are accessing it. Particularly, with respect to eCommerce apps, banking apps, etc. these apps must perform seamlessly even with multiple users, else it negatively affects the reputation of the brand.

Apparently, today it is necessary for businesses to assure the performance of websites and business apps are seamless in order to deliver exceptional customer experience

Performance tests like load and stress tests recognize the application behavior and help to verify whether the server is responding to the user with inquired data within the specified time.Hence performance testing is vital for mobile apps and business websites to work efficiently even under heavy load, as they need to ensure business continuity. So, Performance testing is crucial for the success of the business and needs to be leveraged through enterprises.

Performance Testing Challenges
• Similar to testing web and mobile applications, testers must consider factors like packet loss, latency, load, network bandwidth, etc. The effect of these factors can be far more severe.

• The most significant challenge that testers are compelled to face is of higher complexity. All the new devices linked in the network must be accounted for. A performance testing may be common with recording traffic from mobile devices, web browsers, etc., but testing the latest objects that do not permit a change of settings might be inconvenient.

• The diverse practice of conditions becomes another barrier altogether. While evaluating the performance of an app, the end user’s internet connection stability plays a vital role in discovering test results. Therefore, it is important to assure that data is identified and accurately stored during a disturbance in service.

A well testing strategy is essential to account for the various difficulties faced.

Top Trends in Reimagining IT Services in 2021

Artificial Intelligence Systems is Everything
The new challenges and constraints in the year 2021 can be managed through AI systems these systems can support to overcome all the obstacles. AI can support people to dream up innovative solutions and ideas to establish a more flexible organisation.Short-term use cases are apparent and workforces seriously need development.

A 2019 global study on AI discovered that one of the top roadblocks to scaling the technology is the shortage of employee adoption. If firms are able to invest in explainable AI and different tools that promote and facilitate real human-AI association, then people will experience the technology at its best. Winning today could open new opportunities for enterprises to reimagine their organisation and workforce in the future.

As per the latest report, Artificial Intelligence (AI) is inescapable by 2025, a minimum of 90% of new business apps will include AI. By the year 2024, more than 50% of user interface communications will utilise AI-enabled computer vision, natural language processing (NLP), and speech.This report also says AI and machine learning, IoT, analytics, and other data-driven technologies will drive to technology-empowered change.

Robotic Process Automation (RPA) will Get Mainstreamed
RPAis mainstreamed already for performing repetitive tasks in the business sector. While RPA is recognised as the most fundamental form of Artificial Intelligence, it will proceed to grow because RPA can revolutionise businesses irrespective of their business model and size. We will observe that attended RPA will drive the way, but when coming to the unattended RPA it will also begin growing up in the year 2021. RPA supports to enhance the skills of its current workforce.

Significance of Digital Identity will Increase
Digital identity could considerably support in automating transactions and activities, and to avoid cheating, both in the private sector and public sector. Digital identity can be arrived at through preparing traditional schemes digital or through fully digital means. Blockchain can be a vital technology in promoting digital identity in decentralized and truly trustless environments. With the support from the digital identity, you could quickly check that the individual coming to your residence to check the water boiler is actually the individual sent by the energy or appliance company; governments could properly trace who demands support and whether they should receive it; citizens could gain access to all public transport in a specific region without carrying many cards or tokens– one per transport business or consortium, etc.

Technology Transformation can be Accelerated by Optimizing and Improving existing IT
Majority of mission-critical workloads have not yet shifted to the cloud, and 94% of companies manage several clouds. It isthe right time to begin our tech transformation.Technology transformation over hybrid multi-cloud environments can be complicated and risky. It often includes processes and solutions that are separated, with disparate interfaces and separated management processes. This is the reason why only 20% of workloads have shifted to the cloud. At Adaps Btranse, we understand how to navigate these difficulties and remove the barriers to success. We can support you to optimize and revive technologies with established processes that improve portability and decrease risk.

XaaS will Receive a Great Momentum
XaaS or Everything as a Service is the future’s technology. It will absolutely obtain more momentum in the year 2021 with connecting other futuristic technologies like Big Data, analytics, AI, blockchain, and many more. Also, the multi-cloud theory will gain popularity in the digital transformation services as firms will face onsite, off-side, hybrid, and other demands for collecting and accessing the corporate data during a period. XaaS will reach its ever-changing requirements by delivering robust and customised solutions.

DevOps Plays a Significant Role in Digital Transformation

DevOps plays a vital role in digital transformation that is from recognizing patterns to uncovering the latest revenue streams. Experts say that it is difficult to have one without other.

The Growing Significance of DevOps in Digital Transformation
The COVID-19 crisis has hit the initiatives of digital transformation. With the expedited pace of digital transformation and selection of digital practices, DevOps is also moving from ‘nice-to-have’ to ‘must-to-have’ element in the approach of digital transformation. While offering suggestions to firms that trying to cover this change coming at them so swiftly.

When you think regarding the DevOps implementation in the digital age, it is a cross-functional team that contains not only developers and IT operations, but also the quality experts so that the quality engineers, the quality leaders, and the quality analysts in order to make perfect kind of working model. Also, you must prepare your team that owns the quality as a principal pillar to deliver software.

We have witnessed some teams not own quality. Quality is remarkably important and to assure that you are going to deliver value quickly and usually to the business, you must own the quality. The last thing we can say on this is that you also require to prepare the business to encompass getting value to the delivery of software early and often. So, you require to prepare your business to obtain this value on a regular basis as well.

DevOps Supports Firms to Uncover Patterns
DevOps role in digital transformation is to support firms to understand the specific models and practices that are possible to enhance their performance in the aspect of digital interruption, thus increasing their competing posture. Transforming from a conventional hierarchical, control enterprise to a digital set firm, where authorisation is distributed, autonomy and association are stable, and all are empowered to provide for this you need some serious behavioural reform.

The DevOps strategy helps us to recognize why optimizing the flow from idea to value recognition is not simply about designing a pipeline, and this significantly gives us the frameworks and models to work from a cultural aspect, too.

DevOps Allows Constant Reliable Change
As we observe at largest digital transformations, they are encouraged by several things such as the passion to empower the business to learn, emphasize and move faster. They look to welcome the cloud and to improve their architectures with strategies such as microservices. They seem to reach wider user bases and to attain a more comprehensive scale.

If you do not have culture, process, and discipline that enables you to begin continuously and reliably change, which is what DevOps can support to enable. There is a lot of difficulties that comesimultaneously with cloud and running microservices. If you do not have strong alignment over development and operations, your possibilities of success are restricted. DevOps culture and principles are the fuel for facilitating these various transformation types for most firms.

DevOps Influence on Digital Transformation
DevOps has a notable impact on accelerating customer value by digital transformation. For building a structured model and methodology for producing software with high quality by automation, it is critical to recognize automation holistically– automation of deployments, automation of builds, and automation of monitoring.So in the DevOps world concerning digital transformation accelerating customer value, you should get to have a system that monitors and balances that enable you to get constant feedback.
In the modern digital world, reactiveness and speed are more prominent than control. DevOps is able to create capabilities from a tech perspective and also from an organizational perspective to handle the growing demands in regards to complexity and speed.

Artificial Intelligence and its Impact on IT Industry

Artificial Intelligence (AI)
Artificial Intelligence (AI) has recently got a lot of buzzes and it proceeds to be a trend to follow because it is impacting how we live and work in the early stages itself. Also, other wings of AI have emerged, including Machine
Learning. AI means computer systems built to imitate human intelligence and execute tasks like recognition of speech, images, and decision making. AI can perform all these tasks quicker with more accuracy than humans.

Speech recognition attempts were taking place since the 1950s but did not reach allowing natural speech till the late 1990s. Machine learning (ML) has delivered the majority of speech recognition inventions in this century.
Nowadays, 4 out of 10 use AI services in one form or another that includes streaming services, navigation apps, ride-sharing apps, personal home assistants, smartphone personal assistants, and smart home devices. In
addition to customer use, AI is utilised to predict maintenance, schedule trains, assess business risk, and enhance the energy efficiency, among several other money-saving activities.

Today, the technology of speech recognition is everywhere. Users and technologists alike understand the advantages with voice command, like helping people with learning disabilities, along with lowering paperwork, also
saving time and money which are correlated with the business operations. Artificial intelligence has already started to facilitate the abilities of voice command.

Impact of AI on the IT Industry

High-Level Cyber Security with AI
In spite of the efforts, there are always bugs that try to escape from the testing iterations. Using AI can we examine the software systems and resolve the loopholes and restricting unauthorised access from users.
The AI can also map the association among the IPs, threats, and malicious files to screen them from reaching into the software system. Cognitive AI development can alert the authorities when any violations occur in the real-time. It can strengthen authorities through improving their cyber wing and by decreasing crime.

Enhanced Productivity with AI
Artificial Intelligence utilises a series of algorithms, which can be implemented directly to support programmers when it comes to writing better code and reducing software bugs. AI has been developed to deliver recommendations for coding purposes that improve efficiency, improve productivity, and deliver clear, bug-free code for developers. Through judging the code structure, AI can provide valuable recommendations, which can enhance productivity and support to cut downtime throughout the production stage.

Automating Processes with AI
The advantage of automation is that nearly every piece of work can be performed without human involvement. Through the practice of deep learning applications, companies can go a long way in automating the processes involved in the backend, which is cost-effective and lessen human intervention. AI-enabled systems progressed over time as the algorithms set to improve productivity and realise from mistakes.

IT industry is the Biggest AI Beneficiary
Organisations in the IT industry are the biggest beneficiaries of AI’s capabilities. A recent study reports that approximately 34 to 44% of global firms are using AI to resolve employee technical support problems, automate internal system improvements, and assure that employees only use technology from authorised vendors.

Agile Testing, Myths & Truth

Drill down to Agile testing

‘We are into Agile already’ – This is a natural business statement used by most of the testing organizations nowadays who claim to deliver faster and quicker by inculcating agile methodologies.

Just by Delivering faster does not mean that the business is into Agile process. Business needs to understand that Agile not only means delivering quicker and faster, but it also defines the way of testing during Software development life cycle which helps in improving the overall software product life cycle. Testing plays a very vital role in SDLC. Traditional testing methodologies take a step by step process and progress with the stages of the development cycle in a waterfall model. A happy business case could support waterfall model efficiently but when the business demand keeps changing in an iterative mode, it gives a light to a testing approach called as Agile testing. Let us take a drill down to Agile and its way of Testing.

What is Agile?

Agile is a round robin software testing approach followed during software development cycle in an iterative mode. As a part of Agile methodology, teams are engaged to work in parallel to capture software bugs in an early stage and also to reduce the testing time-lines by delivering faster and in a shorter span of time thus benefiting the business.

While there are many benefits of implementing Agile within an organization, there are also many myths associated with transforming the project to Agile. Let’s have a reality check to some of the myths on Agile methodologies.

Top 5 Myths on Agile and it’s Reality check –

  • Myth #1 – Agile and Scrum are the same

Reality- When an Agile consultant is asked about Agile, Scrum is the first word which is used to pitch Agile methodologies. But the reality is that Scrum is one of the ways to approach Agile. Scrum is a framework to manage project whereas Agile is a principle which unites all the processes and strategies together to fasten delivery.

They say Agile is scrum. But that’s not right, Agile can never be scrum but yes Scrum can be a part of Agile.

  • Myth #2- Agile means no documentation at all

Reality– Agile definitely involves documentation which might not be lengthy in pages, but it definitely needs short user stories and acceptance criteria while designing the business cases. The documentation is Agile is followed and tracked right from open state to the closure of the project. Its short user stories help in collaborating more effectively with the people associated with the Project. So, no documentation in Agile stands as just a myth.

  • Myth #3- No Project planning required in Agile

Reality- Any Project without Planning turns out to be the failure of all times. Planning is everything while driving a Project towards delivery. In waterfall model, planning is done only once a year which is followed throughout till that project is driven to closure, whereas in Agile the Planning is open for refinement at every stage of the testing life cycle in order to incorporate amendments and keep the plan more flexible. This helps in meeting the customer demands and expectations in an iterative and incremental mode.

  • Myth #4- Agile is only used for Software development

Reality- Agile is not a restricted principle that it can be only use in software development companies. Agile aims in transforming every business into a well-developed strategic company by incorporating all its strategies and processes into bits and pieces at every mode of a product life cycle. Agile has nothing to do with software development, although software consultants were the first to use this principle therefore the myth is followed. Agile methodologies are built only to deliver specific results which can be used in any kind of businesses across the globe.

  • Myth #5- Agile gives immediate benefits to the business

Reality- Agile works in an incremental form. Your business may seem to have a fall down at the initial stage as you will be breaking some of the old processes and traditional way of working. But Agile will assure to give you sure shot results in a longer period. It will ensure that your business needs are met timely and it will help you in raising your business to altogether the next level.

There are quite some myths about Agile which takes it to the level of Chaos, but above mentioned were the top 5 myths which every traditional business tends to believe. Reality check to these myths was a must.

The truth about Agile is that well executed Agile projects brings a lot of profit to the business and aims in delivery quality output and deliverables. Agile is much more to actually what we think it is.

Our support to get you into Agile

Be Agile and Go agile is the mantra Adapsbtranse recommends to every Business.

Adapsbtranse is leading organisation who has the best of testing team expertise that can help your business adopt Agile testing using some of the best continuous test automation frameworks and integration tools.

We have scaled Agile with best of our technologies stack like HP UFT, JIRA, SOAP UI, Zephier, TFS and many more. These technologies have proven to be the best leading tools to fasten delivery and reduce business cost of the customer. Our Agile testing automaton frameworks have a leverage to support global delivery model to speed up the development and execution process.

If you want to get your business into Agile, reach out to us for more information on Agile and its way of testing.

How Continuous Automation help to Deliver Business Value?

DevOps is neither a tool/technology nor a framework. It is a software development strategy which bridges the gap between development and Operations team of the company. There are lots of conflicts between Development and operations team for instance the software works in Developers system but don’t work well in production environment. Similarly Developer wants Agility but operations team wants stability. There are many such conflicts which give rise to a concept called as DevOps which helps in resolving these problems.

Continuous Automation and DevOps

DevOps can be implemented and comprehended only with the help of Continuous Automation. Continuous Automation plays an important role in implementing DevOps at various stages of application life cycle. Continuous Automation is a practice to automate an application  at every stage of software development and testing life cycle. It helps in building, integrating , deploying software changes at a faster pace maintaining the consistency and security of the application. It integrates automation of infrastructure and applications, and helps in managing the version control of the software product. It allows  to test a particular application under multiple test environments and conditions thereby helping to manage the software product efficiently. With the traditional testing approaches , it becomes difficult to drive the business in continuous delivery mode. Automation at every and early stages of testing life cycle ensures validations of whether software meets business demands and expectations and clears every quality gate in the delivery pipelines. There are lots of benefits delivered through continuous automation in terms of speed, efficiency and business risk to the customer.

Lets have a closer look on how incorporating Continuous Automation helps in adding value to DevOps at every stage in application management life cycle

  • Continuous Development

Software Project Planning plays a very important role in DevOps methodology. Project Planning is done on the basis of software requirements and its business needs. Once the project planning is completed, development and implementation of the code is then kicked off. Developers develop the code on the existing code and keep amending the code based on the continuous feedback and various operational methods using various automations tools and technologies as per the application needs and demands.

  • Continuous Integration

The continuous integration is a process where the developed code is merged into a single central repository in a continuous format. This helps in maintaining a single version of the copy across development and operations team. Developer merges the code with help of continuous integration tools like Jenkins, Maven, Git/gerrit. Once the code is merged in the repository it triggers an automatic compilation, builds and executes the code. This helps the developer in detecting the broken code at the early stage.

  • Continuous Testing

Continuous testing means undisrupted testing during integration phase. Once the build is deployed on the server, regression testing is conducted with the help of automated tools like selenium, UFT  and other automation tools to check the impact of the code. Automation batches are kicked off automatically through the CI/CD tools and the summary results are then generated in the report logs. Continuous testing helps in achieving shorter time to market.

  • Continuous Monitoring

This is an operational phase of DevOps, where the user actions of the customers are recorded and trend analysis is carried out to improve the efficiency and capabilities of the software application.

Various monitoring methods are performed under this stage like shift left testing, web services testing, early defect detection, micro services testing and many others through automation to eliminate errors at an early stage.

  • Continuous Feedback

Continuous feedback of the application is provided to the developer with the help of customer’s surveys, feedbacks and other ways through which application can be improvised. These feedbacks aim in delivering the best of product to the customer. Feedbacks are in an iterative mode so that continuous development on the flaws of the application is worked upon by the developers and tested by the testers.


User needs are changing rapidly , and meeting the business demands seems more and more tougher everyday . The best way to achieve this is to drive the assets directly from the initial phase itself. This is only possible with the help of continuous automation in DevOps.

DevOps is a best way for software development. It definitely eradicates the gap between development and operation teams and engages more iterative way of testing. DevOps will capture the market in the growing time and will evolve as the best practice to develop dynamic applications and overcome all challenges.

DevOps offerings in Adapsbtranse

As the scope of development of the applications keeps increasing, the need for DevOps to reduce time to market will keep increasing as well. Adapsbtranse focuses and helps in delivering a quality product to the customer by using high end technologies which helps in collaborating effectively with developers and Operations team. We have wide range of frameworks, tools and technologies like-

-Cucumber framework, Apache, Maven, Jenkins, SOAP UI, ALM and others which will help in transforming your business to DevOps.

We value and understand the need to move faster and Go Digital. We will help you in accelerating your business and increase your ROI.

If DevOps is your need then hold on to this page and collaborate with us for end to end implementation of DevOps.

Emerging Technologies : Changing the Future of Software Testing

Future of Software Testing

Shifting towards technological advancements has now become an integral need to business success in today’s Digital era. Growing organizations are re-innovating, re-designing and re-thinking to envision deliver faster and evolve technology solutions. They are transforming traditional infrastructure to modernized architecture with the help of digital technologies to steer Re-engineering in software testing platform. One of the ongoing trends in Software testing are typically Test automation and continuous automation which are now taking a right shift to the prominent themes emerging in the market. These powerful themes now have found a way to capture the testing platform through various intelligent technologies and concepts providing End to End automation solutions.

Leadership at Adapsbtranse understands digital strategies which will help you to get ahead and achieve a competitive edge. We provide end to end testing solutions which will help you in managing your immediate business goals and pursue long term technologies that are essential for growth of your organization.

Let us check the rundown of emerging testing trends transforming the existing software techniques:

RPA (Robotic Process Automation):

When it comes to processes no one likes performing operational tasks manually. Manual tasks are time consuming and hazardous which influences the efficiency and profitability of the organisation. This raises an eye towards Robotic process automation which helps in automating the manual processes with the help of intellectual solutions using software testing BOTS to eradicate manual dependencies and help in achieving faster deliverables.
Adapsbtranse can help in transforming your processes smarter. We will not only help you to elevate the manual processes but we will also help you in creating intelligent operations which will help you in steering end to end automation solutions for business benefits.

DevOps & Agile:

As the name implicates DevOps stands for Development to Operations. The principle of DevOps aims in collaborating more effectively with development and operations team to engage more iteration, regression and progressive testing during software business releases. Organizations who have indulged in formulating this principle into their testing life cycle model have claimed to increase their ‘Go Live’ process at a rapid rate.
We at Adapsbtranse will help you in transforming from traditional models to DevOps infrastructure with the help of agile testing tools/methodologies and concepts to help your business grow faster and smoother.

IOT (Internet of things):

Let us agree to the fact that IOT is growing bigger and wider in the testing market. Any physical device which can be connected to internet and can be controlled from anywhere will be treated as an IOT device. The need and demand of smart automation across the globe in every field has given rise to IOT testing. Securing customers data has always been the prime motto of Adapsbtranse team. Keeping this in mind we have incorporated new testing methods like Data integrity, security and fraud testing to support IOT testing to keep our customers’ data secure and free from software attacks.

AI & Machine learning:

Inculcating human intelligence to computed systems is AI. Machine learning is a formulated subset of AI wherein the system is trained to think like humans.
Considering the growing need and demand of the testing market, business needs to take a step ahead and predict what the customer wants. Predictive analysis of collating the customer’s data and producing an outcome plays a vital role in Quality Engineering. Role of testing takes a move to train the testing tools like human to produce defects, code optimisation, predict the failure point and analyse the test results.Adapsbtranse understands this shift towards imparting the intelligence to the systems and thereby produce quality products for the customer.

CI & CD – Continuous Integration and Continuous Deployment:

Continuous Integration and Continuous Deployment is a one stop solution which has now taken a boom in the testing market to provide End to End automation solution from build to Execution. CI & CD enables an organization to have automated testing and staging solutions to let the developer decide to merge the code into production. CI & CD tools is a version control system to automate the code and build an automated engine.
Adapsbtranse adapts to the concept of integration and deployment helping the business to detect bugs at an early stage. It also helps in reducing the business cost and helps in faster delivery.

Micro services test Automation:

Micro services test automation majorly focuses on white box testing wherein all the code level testing is performed during integration phase.
The role of end-to-end testing is to make sure all the systems are tied up properly together and there are no defect leakages inside and outside the system. End to End tests created verifies the internal and external requirements are met properly from UI and code perspective. We help you in achieving Micro services test automation through various approaches of Unit testing, Continuous testing, End to End testing and system Integration testing.

Big Data testing:

Big data is the new buzz which is trending recently. Big data helps in deriving output from complex data which eventually helps the business in taking decisions for business profits. Testing such large amount of data becomes difficult for a tester through traditional approaches. This evolves in Data engineering testing to produce profitable outcome to the business. Adapsbtranse understand the difficulty in tackling with Data problems and helps in resolving with the help of expertise Data analytic team who provide wide range of testing tools and solutions in Big data world.

Next Generation Mobile Automation:

Gone are the days when people switched on their computers or Laptops to access everything, people prefer having a mobility solution to access everything on their mobiles. This brings a completely new move to the testing era where mobile applications are tested and ensured that they free of errors and bugs.
Adapsbtranse has a testing expertise team which will help you in providing wide range of testing solutions for native and web applications. Our expertise in mobile testing will provide you end to end automation solution from Development to Testing through cloud computing tools and Test automation framework.

The above technologies depict the way they are re-engineering the current technologies and shaping the future of software testing. We are delighted to share our
testing expertise at Adapsbtranse to help your business grow.

If you are looking to streamline your software testing operations with the latest technologies then you are at the right place. Our Automation and Quality services are efficient, reliable, robust and flexible to meet your needs and demands.

Reach out to us & we will be glad to assist you with our service!

Automation White Paper

software testing companies in australia

Continuous integration testing is a practice that is carried out to integrate code into a shared repository regularly to analyse and locate errors more quickly, the main problems that test automation solves and take a look at the steps necessary to implement this within your development process, all with the aim of improving software delivery. Before we start …

Discussions around the area of test automation are often too complicated and riddled with misunderstandings. Terms like BDD, TDD, agile tests, acceptance tests and functional tests are thrown together, and they merge regularly to become one concept in the minds of many. Understand test automation it becomes simpler though, once you understand where it fits like a discrete idea
within the world of agile development. We also learn that taking full advantage of test automation requires implementing changes in the general delivery process. Let’s look at some of the basic concepts of the agile approach and how is related to the automation of the test and then reviews the benefits and Implications of implementing an automated test instead of manual regime:

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DevOps White Paper

devops service providers

Currently DevOps (abbreviation of Development and Operations) is creating a buzz around the world because of its ability to reduce IT operational costs while improving the software quality and accelerate time to market. DevOps reorganizes software development and operational departments to eliminate the operational limits that currently generate inefficiencies in terms of time to market for new characteristics and quality of the software. Includes the Implementation of Continuous Delivery, Continuous integration, automated tests, Monitoring of applications and other best practices in Software Development and Operations.

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Risk Based Testing Case Study

quality assurance and testing services

Adapsbtranse improved the Defect Removal Efficiency (DRE) for the product from 65% to 80% across releases.

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