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Metrics and KPIs for Software Testing

Metrics and KPIs for Software Testing

The words of Peter Drucker “What gets measured, gets managed” hold true in every realm of professional and personal life. In the realm of software projects, it is critical to success for quality, efficacy, and cost of the project and its processes to be measured – without measuring these factors no project will reach successful completion.

Metrics and KPIs for Software Testing

Given the critical nature of metrics and KPIs for software testing, it is important that a business partner with a renowned and expert software testing company to control its software projects. Controlling projects means speedily identifying any deviations from the original test plan, to ensure timely corrective action. Generating test metrics is an inextricable component while attempting to achieve top quality of the software being tested.

Differentiation between a Metric and a KPI

Simply put – metrics are standards of measurement. In the realm of software, “a metric is a quantitative measure of the degree to which a system, system component, or process possesses a given attribute”. Software metrics measure the quality of a project, providing insights into the efficacy of the software testing efforts. These metrics enable testers to diagnose particular problems within the process of software testing, which if ignored could lead to poor quality software.

A KPI or Key Performance Indicator is a type of metric aligned with the critical business goals. Within an Agile project, KPIs help to understand whether the processes being used are enabling faster testing, elevated quality of software, faster and frequent releases, and a consistently high ROI for the business. To understand whether a metric is a valid KPI within Agile Testing, the testing must have relevance for the objectives of the business. Any metric that matches this description, would be a valid KPI. The metrics used by Agile Testers must always have an applicative and practicable purpose, and they must avoid any futile or purposeless metrics (the ones that do not help to evaluate the testing process or uncover any issues with testing)

KPIs

Automation is a critical component of the speeding up the testing process, since it is important that software testing does not pose an obstacle for Agile Testers in their endeavor to regularly release high quality software to the market. It is necessary for testing to match the pace of development of the software. Monitoring the progress of automation is necessary to understand the pace of testing for each build, and the more automation is achieved from the tests that can be automated, the quicker would be the pace of release.

Any business aims to release top quality software as frequently as possible. With this aim in mind, the KPI of defect resolution time is a measure of whether the testing teams are able to help a business achieve this aim. An experienced Agile Testing team would have the ability to fix bugs and errors in the shortest possible time, ensuring swift release of software.

Software Testing Teams

Another key feature of top quality software is that the application ‘behaves’ and ‘acts’ exactly in the way that the user would expect, and that it does what the user needs of it. To ensure high quality software, it is necessary that testers create tests that are able to verify the functionality of software. The KPI of coverage requirement helps to track what percentage of the requirements are being covered by a single test – this would serve as a pointer or guide for both the efficiency of the testing and the quality of the software.

Yet another method to evaluate whether the software testing efforts are working is the KPI of escaped defects. This means that a negligible number of defects would ‘escape’ into the production cycle, and by counting the number of defects per testing cycle, it would be easy to understand whether the Agile Testers are doing their job effectively. It would therefore, be necessary to effectively record and report this data back to the business.

With Agile Testing, velocity is another useful and specific measurement – measuring the amount of work the testing team is able to complete within a timeframe. Velocity is estimated by committing a certain amount of time by each team. To understand whether the velocity is achieved and the speed at which the team is able to put out working software, is by comparing the actual velocity with the time committed. Within SDLC, testing typically is the slowest part, and a higher velocity would mean progressing faster with software testing.

Do Metrics and KPIs actually improve the Testing Process?

Businesses that operate outside the realm of IT and Software would naturally have concerns over the efficacy of metrics and KPIs in the testing process, and hence would need the expertise of a knowledgeable software testing partner to allay their apprehensions. Such a partner would be able to deliver tangible benefits and results, by ensuring that software testing is never measured at an individual level, for example, counting test cases done by individual testers. In addition, an expert service partner will actually use the contemporary Agile Approach, as opposed to some who may simply have ported from the old Waterfall model, without making an evaluation of the benefits within the context of Agile. It is therefore, imperative to make an informed and right decision with regard to the software testing partner. Despite these hurdles, the fact remains that both metrics and KPIs serve to enhance the quality and delivery of software and serve as methods for continuous improvement. Of course, these are only parts of the entire gamut of software quality testing, and a business would benefit from working with a partner that can provide a holistic approach of quality and improvement within this realm.

In Conclusion:

For a business it would be wise to consider the objectives and values they can benefit from through the Agile Methodology, before measuring a load of team metrics and KPIs. Partner with a QA company that will execute these software testing metrics and KPIs to improve the overall effectiveness, accuracy, and speed of the software, resulting in the best quality possible. It would be advisable to remain cautious that measurements must never be viewed in isolation as they would present a distorted picture of the testing efforts. Connect with us to get a holistic approach, enabling the collation of useful test metrics and KPIs that would provide a collective and unified view of software quality.

How to Write Test Documents

How to Write Test Documents

In the crucial Software Testing process, writing test documents holds great significance. Testing documentation essentially involves the official recognition of testing components and scenarios that testers need to consider or develop before commencing software tests or during the testing of software.

For good documentation, testers must create a test environment that allows them to test all the instructions against the pre-determined specifications or requirements. The testing of instructions enables testers to gain insight into the augmentation of the accuracy of the testing documentation process. In order to write test documents efficiently, it is pertinent to pay attention to the Test Plan, the Test Case, the Test Scenario, and the Requirement Traceability Matrix (RTM).

Write Test Documents

Writing a Test Plan

The writing of a test plan holds great significance for a software testing company when it undertakes a software testing project. The test plan evidently marks the competence of the test engineer or the head of the Quality Assurance (QA) team since it draughts out the common strategy to be used for testing the software in question. The plan also delineates the test environment, the resources that will be used in testing, and the test activity schedule.

To prepare a good test plan, the test engineer or QA team lead should first prepare a suitable introduction to the Test Plan document, highlighting the objectives of the testing activity. Thereafter, the assumptions while testing the software should be enumerated. The other important testing components to be included in the test plan are:

  • The testing approach
  • Resources required
  • The features to be tested
  • Types of testing to be used
  • List of test cases
  • Testers responsible for testing
  • The deliverables for testing
  • The test completion schedule and goals to be accomplished
  • Potential risks involved during the test process

Writing a Test Case

The main aim underlying writing test cases is to validate the test coverage of the software under testing. Writing test cases is a complex activity involving the various inputs, steps, and conditions that can be used during the testing process. Software testing companies consider the ability to write effective test cases as a competent skill that comes with experience and with the knowledge of the software being tested.

Test cases can be of different types – functional test cases, logical test cases, negative test cases, error test cases, physical test cases, and UI test cases, among others. Some general components of a test case are:

  • Test case ID
  • Product module and product version
  • Purpose/li>
  • Assumptions and pre-conditions
  • Steps
  • Projected outcome
  • Factual outcome
  • Comments/post-conditions

Creating a Test Scenario

The creation of test scenario – also known as Test Condition or Test Possibility – is a vital activity for a company providing software testing services. Although the term ‘test scenario’ is occasionally used interchangeably with ‘test case,’ the difference between the two is that a test scenario includes a number of test cases with countless steps whereas a test case has only one step. In a test scenario, the various test cases may either be independent of one another or may follow a sequential execution in which each test is dependent on the output from its preceding test.

In writing test documents, the test scenario is typically a one-line statement that provides information about what specific area in the software will be tested. For some areas in the software, one test scenario may suffice, while for other areas hundreds of test scenarios may be required due to the complexity of software.

The Requirement Traceability Matrix (RTM) Document

The Requirement Traceability Matrix – simply called Traceability Matrix – document comprises a table with which the requirements during the Software Development Life Cycle (SDLC) can be traced. When test documents are written, it is pertinent to link the requirements in the RTM document with their associated test cases so that tests can be performed in accordance with the stated requirements.

The RTM document helps to verify that the development of the software is in accordance with the requirements. In addition, the document also identifies the root cause of bugs and traces the developed documents during different stages of the SDLC.

In Conclusion:

Writing a perfect test document is a crucial task that facilitates the evaluation of the testing effort required for the software under testing. Therefore, before writing test documents, the people responsible for the task should first understand the purpose of writing test cases and then ensure that the tests are clear and consistent. Overall, it must be noted that a test document should have one standard format all through and it should provide excellent readability and optimum test coverage. Our team consists of experts in this realm and more – connect with us to get the best possible software and documentation.

Explaining Co-located Testing Teams and Their Benefits

Explaining Co-located Testing Teams and Their Benefits

Co-location is increasingly emerging as part of the Holy Grail in the software testing industry. A co-located structure offers key benefits when a QA Company undertakes to provide flawless code that matches and exceeds the expectations of clients. The physical proximity of software development teams and software testing teams is increasingly driving business choices owing to a number of visible, emphatic benefits. We have discussed some of the benefits of co-located teams:

Work Benefits

Some experts in the software development and testing industry aver that co-location is important for strong, productive testing teams. These personnel base their assertion on the fact that co-location improves software testing by reinforcing the scope of design discussions among team members.

Explaining Co-located Testing Teams and Their Benefits

In addition, co-location strengthens intra-team co-operation and co-ordination by allowing new testers to ‘learn the ropes’ and gain encouragement from experienced testers. Hence, a QA Company gains distinct benefits when co-location emerges as the mantra for software testing practices.

Faster Communication

Software testing teams that share the same location are well positioned to collaborate and share views on technical topics in real time conditions. A QA Company that co-locates its team with software development groups minimizes confusion and cuts the scope for re-work. These translate into emphatic business benefits that exert a positive impact on the bottom-line. In addition, co-located software testing teams can leverage the higher scope of communication to drive better decision making and problem solving, thereby delivering perfectly on client mandates.

Better Kick-offs

The operators of a modern software testing Company can invest in co-location practices wherein new team members can meet for the first time, gain familiarity with the group, plan and design work activities and schedules, and other such activities. Such actions, when undertaken in a single location, allow software testing personnel to gain a clear picture of client expectations and the individual capabilities of each team person.

Explaining Co-located Testing Teams and Their Benefits

This makes for better integration of the human capital that undertakes software testing efforts. In addition, co-location also implies better knowledge transfer mechanisms, a clear understanding of the rules of engagement, and the defined boundaries of a software development and testing project.

Support for Agile Practices

Co-located software testing systems and practices result in improved ROI for a QA Company. This benefit arises from the fact that a co-located environment provides testers and developers with a better environment for undertaking ‘Agile’ practices. Co-located testing approaches are more suited for the demands of ‘Agile’ environments, since such a model helps to resolve issues quickly, while also addressing management issues and concerns. Often, co-location also creates a significant impact on app development, thereby boosting the efforts of testers to meet and exceed client requirements.

Lower Operational Costs

Businesses often maintain a sharp eye on reigning in the costs of business operations. This objective is decidedly achieved by hosting entire software testing teams in a single location. This choice of action helps lower overhead costs and cuts recurring expenses associated with maintaining substantial technical infrastructure. Co-location also promotes the old school concept of face-to-face meetings, thereby avoiding the charges incurred by lengthy and not as efficient video conferences that would otherwise be required to connect distributed team structures.

Smoother Manpower Management

The business benefits of co-location extend to better management of software testing teams. Managers of such teams are able to broadcast the mandate speedily and effectively to software testers positioned in a co-located work environment. This promotes greater understanding among software testers and reduces the impact generated by gaps in comprehension. In addition, a QA Company gains in terms of better staff morale and higher levels of employee satisfaction in a co-located work environment.

Streamlines Product Development

Co-located software testing teams tend to work more productively and efficiently at each stage of the software development and testing process. Such teams remain immune from delays that stem from distributed team structures spread over multiple time zones. A QA Company that invests in co-location benefits from faster corrections and smoother decisions among its staff persons. These facts contribute significantly to the success of software development and testing processes in the present day.

Streamlines Product Development

In Conclusion

We have looked at some of the key benefits of co-location in the software testing industry. The business benefits are emphatic, as are client commendations when they peruse the work outcomes of co-located work teams. The appreciation from industry observers appears to reinforce these impressions, which has resulted in companies seeking vendors that promote co-location practices. Connect with us to experience fast, efficient, and transparent processes resulting from our co-located teams working round the clock.

Using Machine Learning for Test Coverage Prediction

Using Machine Learning for Test Coverage Prediction

The use of Machine Learning (ML) is one of the latest trends being leveraged by software testing companies to predict test coverage, a crucial test management metric. With ML, companies can ensure that test management goes beyond spreadsheets, incorporating the latest Artificial Intelligence (AI) technologies.

ML lends enhanced precision to test coverage predictions, thereby paving the way for a better assessment of quality delivery of software projects. Test coverage predictions for a release can attain higher levels of accuracy with ML as compared to manual testing. There are several reasons for why ML benefits Test Coverage predictions, and any top QA outsourcing company would be able to work with Machine Learning to provide the best software products.

Increased Focus on Qualitative Testing

With over one-third of software testing being a repetitive process, aimed at checking results, the use of ML and AI bots enables greater focus on the qualitative aspect of testing. Since test coverage largely pertains to the quantitative extent of tests, Machine Learning facilitates better software testing coverage predictions as it pivots around creative and business-centered test inputs and validations.

Expanded Test Coverage

The shift to Agile and DevOps has added a new dimension to software development and testing. The breakneck speed of software development in present times has brought test coverage and quality assurance to the forefront. Test coverage defines specific parts of software that tests need to cover. Using ML can ensure that test coverage is expanded to an ideal amount – based on the priorities of a business and its risk analysis, to ensure that coverage predictions have elevated levels of accuracy.

Learning-based Predictions on New Data Set

The demand and popularity of ML has soared in recent years since it characterizes a software category that allows a computer system to learn without explicit programming. ML software has the ability to ‘learn’ from a given set of data and use its learning to make predictions about a new data set.

Increased Overall Scope of Tests

ML and other automated testing techniques can enable a software testing company to increase the overall scope and depth of tests. Automated tests can better ascertain that the software being tested behaves as expected because hundreds of different test cases can be executed in each test run. The greater test scope afforded by Machine Learning can result in more comprehensive test coverage.

Automation of Critical Flows

Software testing companies can improve test coverage significantly by using ML and automation with tools such as Cross-Browser Testing. The improved test coverage results from the automation of critical flows and quick access to the browsers, devices or platforms that testing has to cover. With the testing plan covering diverse scenarios, Machine Learning can facilitate effective test coverage predictions.

Tracking the Progress of the Delivery Timeline of a Project

Manually combining the predictions made with the help of reports from test management tools is a time-consuming process. It fails to accurately predict tasks such as test coverage, test estimation, and quality issues. However, with machine learning algorithms, it is easy to establish cross co-relations from all the data collected. ML, therefore, is an efficient technology for predicting test coverage and monitoring the progress of the delivery timeline of a project / projects.

Reliable Test Outcomes

New methodologies in software testing and the adoption of the ML approach have resulted in more reliable testing outcomes than the traditional testing methods. In addition to increasing test coverage, the new automated testing techniques and detailed attention to data management have resolved the issue of ignored bugs in software, and reduced the time required by testers to conduct tests on software.

Better Competitive Positioning

The Machine Learning approach ensures a competitive positioning for the testing company using the technique given the ability to forecast customer requirements. A broader test coverage mechanism empowers a company to analyze customer data, understand the in-demand features/products and make software modifications accordingly. ML can therefore, lead to higher revenues and more cost-effective QA processes for a company.

Improved Software Quality

Software testing companies using ML and AI technologies for automated testing can produce a comparatively higher quality of software than those dependent on manual testing. These technologies enable improved test coverage, accurate coverage predictions, and better test quality. Additionally, companies that incorporate ML also bring down the requirement of manual labor for testing purposes.

In Conclusion:

Using Machine Learning for test coverage predictions can prove to be a decisive step by QA companies looking to accelerate their continuous test automation efforts to produce quality software. Several companies are adopting the ML technology for extending test coverage at scale and forecasting building performance. The inclusion of ML in testing can mainly be beneficial for a company because it improves test coverage, simplifies prediction models and reduces computation times drastically. Connect with us as the experts in this realm and more.

Great Products – Are Developers or Testers Responsible

Great Products – Are Developers or Testers Responsible

In the software-centric world of today, it has become essential for software development companies to ensure high-quality software products at a fast pace. Great products are always a result of dedicated efforts of both the development and testing teams. While the developers are responsible for creating new and better products, the testers ensure that the products are tested for reliability and an assurance of security.

Are Developers or Testers Responsible

The question whether developers or testers are responsible for great products does intermittently become a subject of discussion. The answer to this question is rooted in the ever-evolving software development process, which now necessitates the testing of products alongside development. Hence, developers and testers play an equally important role in creating great products, and there are number of reasons.

Changes in Software Development Landscape

In recent years, the landscape of software development has changed enormously. Software products are now being developed with the help of new technologies to ensure that products generate value in the lives of the users. Most businesses hire developers to create new codes and partner up with offshore software testing services to conduct software tests that ensure a high quality of the product created.

New Development Methodologies

With customers often needing great software products, and delivered in short timeframes, new development methodologies like Agile and DevOps are being adopted by developers to create software products. These methodologies underscore the most up-to-date and relevant technology options since they involve faster processes. Additionally, the methodologies also ensure the alignment of software products with customer demands.

Checking for Areas of Potential Breakage

For creating great products, developers and testers need to learn from each other. Developers can help testers in understanding the code base and related test code. Testers, on the other hand, can help developers in understanding the test suite and the reasons for using related test techniques. Effective communication between these different teams can enable testers to look for areas of potential breakage and build better tests for writing even better test code that would create more robust products. Any top software testing company would have expert teams that work cohesively to ensure their clients have the best products.

Focus on Perfecting Product Releases

Along with the creation of faster software products, software development in present times also focuses on perfecting product releases. Developers often have to make incremental changes to improve the software, in order to meet the changing requirements of customers. These continuous changes to software need to be tested intensely before the final product is delivered to customers.

Are Developers or Testers Responsible

Complex Software Development

Software development is becoming increasingly complex these days since developers are required to create codes with interconnected parts that can easily render themselves to iterations. Given this complexity in developing software, the process of testing the software is being integrated into the process of development. Expert testers conduct the testing of software alongside the development process using automation testing and other testing methods. Advanced testing methods are an important quality assurance mechanism to ensure fast and continuous delivery of bug-free products.

Competitive Marketplace

The intense competition in the software development realm makes it obligatory for developers to create stellar products, which must be duly tested by expert testers before delivery. Hence, to create great products, both the development and testing teams must remain aware of the latest technological advancements and new business trends, and a renowned Software Testing Company would have the experts to advise your business.

Delivery of Quality Software

Software testing has evolved in recent years largely because of immense pressure on software providers to develop error-free products of a high quality. A software testing company plays a vital role in the launch of quality products because it specializes in testing services. Testing is, therefore, a crucial process in the development of software. Developers and testers must work in collaboration in order to ensure fast delivery of new software and quicker release of updates.

Emphasis on a Test-first Approach

An increasing number of businesses now understand that testing should be an early part of the development process and not merely a method of evaluation of the final product. This kind of test-first approach enables developers to know beforehand about the scripted and exploratory tests that would run, with the result that the creation of software is markedly testing-driven and the final product is of a high quality.

In Conclusion:

The launch of quality software products is possible only if the speed of testing of new releases or updates keeps pace with the pace of development. Quality product development requires collaborative team efforts since great products are always an outcome of the combined skills of developers and testers. The key objective of both developers and testers is to create exceptional products that generate value for the users, and hence it is apparent that the development of great software products involves the expertise of great developers as well as great testers. Connect with us to experience the best of both teams.

Monitoring Makes for Better Testing

Monitoring Makes for Better Testing

Monitoring of tests is a crucial management activity that has the ability to improve the overall software testing process and enable the successful completion of a software development project. With test monitoring, comparisons can be made between the original project plan and the progress achieved at a given point of time.

Monitoring Makes for Better Testing

Monitoring can ensure improved testing of the software because it creates a streamlined process of evaluation and feedback. It makes sense to evaluate some of the reasons which illustrate that monitoring makes for better testing.

Comprehensive Assessment of System Performance

Efficient monitoring of tests, especially in production, is useful in gauging the performance of the system with regard to real users and real data. The information collected by means of performance testing and monitoring can be expanded for a detailed insight into the application. It also ensures a provision for spotting the bottlenecks in performance and being able to address them in a timely manner.

Effective Supervision of the Testing Process

Monitoring is important in testing because it allows the person in charge to monitor the complete testing process, by getting regular feedback from the testing teams. The Manager monitoring the tests can guide the testers towards achieving the goal of an organization – that of top quality software. In addition, monitoring also provides for increased test coverage and a broader understanding of the status of testing at different stages. A well-supervised testing process gives the project team clear direction and vision of the test results.

Proper Appraisal of the Progress of the Project

In the test execution phase, monitoring ensures that the testing team works on the assigned tasks to ensure that the actual progress of the project coincides with the original plan. Monitoring of tests also leads to early detection of, and appropriate response to, any deviation or change to the plan.

Monitoring is important in testing

It assists the Manager is ascertaining whether the project is progressing on the right track consistent with the project objectives. It also allows organizations to modify their budget and adjust their resources.

Efficient Test Control

Monitoring enables a software testing company to standardize its testing activities and apply a powerful test control mechanism. With standardized testing process and tools, the testing team can take swift corrective actions and improve the testing process, based on some metrics or information collected. Hence, if required, tasks can be reassigned and schedules can be fine-tuned in order to accomplish the project targets.

Faster Release Cycles

It is possible for an organization to achieve faster release cycles if it has a robust mechanism in place for monitoring automated testing. Monitoring can enable a shift in the testing approach ensuring that production environments are test-friendly. Additionally, the time spent in pre-production can be reduced because of the focus on time-to-market and iteration. Towards that end, problems detected in the project are duly recorded and reported. They are also appropriately resolved.

Collaboration among Different Teams

One of the benefits of test monitoring is that it creates an environment of collaboration among different teams. In a DevOps scenario, the cooperation between development and testing teams is extremely important during the execution and monitoring of tests in parallel. It gives the organization an all-inclusive view of the application as it passes through the development and testing phases, and eventually benefits the entire development lifecycle.

Prompt Analysis of the Effect of New Change on Quality

Test monitoring allows Quality Assurance (QA) teams to analyze the impact of a change or feature on the final quality of software. Since testing is linked to the quality of a product, monitoring of tests holds great significance when features, fixes, and changes are deployed frequently. Test monitoring is also necessary for determining the response of users to the ever-changing production systems and ensuring a high-quality product compatible with the pre-established standards. It, thus, gives QA teams a chance to add immense value to the business.

Complementary to Continuous Delivery

Top software testing companies endorse the test monitoring mechanism because it can complement the Continuous Delivery process for bringing software rapidly to the market. Quicker iteration times give testing teams the ability to shore up the process of rapid software releases. Given the effect of monitoring, new fixes can be put into production quickly after testing, so that their effect on user behavior is measured promptly.

In Conclusion:

The process of test monitoring is essentially a management-level practice that oversees the software testing efforts. It encompasses a continuous observation of the testing process, with the central idea of enhancing the design and functionality of the software. Monitoring can greatly augment testing because it enables the Test Manager to observe the core elements of an application closely, and ensure the effective working of the key user journeys. Our team consists of top experts in this realm and more – connect with us to augment the software of your company.