Businesses are nowadays aligned to innovate to stay competitive in the global market. To increase the ROI and give customers the best experience, it is crucial to automate several business procedures. Test automation is very much essential to ensure the desired user experience and bug-free software. When technology advances, test complexion also increases.

Modern technologies like AI are reaching the horizon with the development of powerful tools like ChatGPT, which allows you to read and write code like a pro-human.

What is ChatGPT?

It is a natural language processing chatbot that produces human-like text for back-and-forth communication with Generative Pre-Trained Transformer 3 (GPT-3)paradigm.  The response tone of the ChatGPT can be changed depending on the scenarios because it was trained on a vast amount of data.

ChatGPT employs a conventional model to interact with any user in a chat-line manner. It can even understand 95 different natural languages. It can create original comments, translate languages, and summarise and paraphrase the text’s content.

How Automation Testing can be carried out using ChatGPT?

1. Identify Test Scenarios

Select the test cases and scenarios you want to automate. User interface testing, API testing, regression testing, and other types of testing may be included.

2. Set up the Environment

Ensure that the infrastructure and tools required for automation testing are in place. This involves the integration of ChatGPT as well as test environments and test data.

3. Integrate ChatGPT

Integrate the ChatGPT model into your testing framework. You can use APIs or libraries to communicate with the model. Some common libraries for interacting with GPT models include OpenAI’s API or Hugging Face’s Transformers library.

4. Write Test scripts

Create test scripts that make use of ChatGPT to produce Test inputs or expected outputs. For example, if you’re testing a web application, you can use ChatGPT to generate different user inputs, such as form submissions or navigation commands.

5. Execute Tests

Run the automated test scripts, and while the tests are running, utilize ChatGPT to dynamically generate input data or expected results. This can make it easier to test different situations and edge cases without having to create a massive number of static test cases.

6. Validate Outputs

Compare the actual outputs from your application with the anticipated outputs produced by ChatGPT. If they match, the test passes; otherwise, it fails.

7. Logging and Reporting

Create reports by logging the outcomes of each test execution. This documentation is essential for tracking the progress of your automated testing.

8. Iterate and Maintain

As your application evolves, update and maintain your automated test scripts. Make sure that your ChatGPT integration remains compatible with any changes in your application.

9. Continuous Integration/Continuous Deployment (CI/CD)

Integrate ChatGPT-based automated testing into your CI/CD pipeline to make sure that tests are executed automatically in response to each change in the source code.

10. Monitoring and Alerts

Implement monitoring and alerting tools to keep you informed of any unexpected behavior or faults in your application, which can lead to more ChatGPT testing.

Challenges and Limitations of ChatGPT for Automation Testing

While ChatGPT and similar language models can be valuable tools for automation testing, there are also some potential drawbacks and limitations.

1. Inaccuracy

ChatGPT generates text based on patterns it has learned from training data, and it may not always provide accurate or contextually appropriate test inputs or expected outputs. This can lead to false positives and false negatives in test results.

2. Lack of Domain Specificity

Language models like ChatGPT are trained on a wide range of internet text, and they may not have specific domain knowledge relevant to your application. This can limit their effectiveness in generating test scenarios and data for domain-specific applications.

3. Limited UI Knowledge

ChatGPT might not completely comprehend the difficulties of user interfaces and the interactions between elements on a web page or in a software application. This can lead to incorrect or incomplete test inputs.

4. Complex Test Scenarios

Automation testing often involves complex scenarios, data dependencies, and user flows. ChatGPT may struggle to generate the necessary test cases for such scenarios, especially if they involve multiple steps or conditional logic.

5. Data Privacy Concerns

Using a cloud-based language model like ChatGPT may raise data privacy issues if your testing involves sensitive or personal information because your data is processed on public cloud.

Future of ChatGPT in Automation Testing

ChatGPT is a powerful natural language model that has enormous potential for automation testing. It simplifies the automation testing process, revolutionizes overall growth, and achieves the highest level of quality assurance from speech to code. Advanced language processing, vast knowledge, and other ChatGPT features enable effective and natural testing experiences.

Sapizon Technologies is among the top software testing companies that deliver bug-free products to clients.

 

Businesses across different industries are leveraging test automation during their development process to release quality software to the market. Test automation requires a large financial investment. Without a mechanism to measure the automation’s effectiveness, that investment could go to waste.

This article explains the importance of powerful automated software testing metrics to make improvements in test automation.

Why automation testing metrics are important?

Metrics for automation testing are crucial since they offer significant information about how effective and efficient the process is. These metrics assist teams in monitoring, evaluating, and enhancing their automation initiatives.

Metrics and KPIs for test automation can be useful tool for assessing the ROI of automation efforts and identifying critical areas for development.

Several factors determine the significance of automation testing metrics.

1. Test Coverage

Metrics for automated testing provide visibility into how well-automated tests are executed. Teams can use it to calculate the percentage of the application or system that has been tested as well as how many test cases have been automated.

To ensure that vital capabilities and scenarios are appropriately covered, these metrics in understanding the scope and extent of testing.

2. Test Execution Time

Teams can monitor how long it takes to run automated test suites using automation testing metrics. This metric aids in evaluating the effectiveness of the testing procedure and locating any bottlenecks or areas that need to be optimized.

By monitoring test execution time, teams can optimize test suites and reduce the overall testing cycle duration.

3. Test Results

Metrics for automation testing provide information on the number of tests that passed, failed, or blocked. These metrics assist teams in evaluating the overall quality of the software and locating any issues that need to be addressed or looked further.

By analysing test results, teams can identify patterns and trends, enabling them to make informed decisions about the software’s readiness for release.

4. Defect Detection and Resolution

Metrics for automation testing are used to keep track of the number of problems found by these tests. These metrics provide information about the test cases’ efficacy and the software’s general resilience. By monitoring defect detection, teams can identify areas that require additional testing and prioritize defect resolution efforts.

5. Test maintenance effort for selected metrics.

Automation testing metrics provide visibility into the effort required to maintain and update automated test scripts. By tracking test maintenance efforts, teams can identify areas where automation scripts can be optimized or simplified by reducing maintenance costs and ensuring long-term sustainability.

6. Return on Investment (ROI)

Automation testing metrics help organizations measure the ROI of their automation efforts. By analysing metrics such as test execution time, defect detection, and test maintenance effort, teams can assess the cost savings achieved through automation.

How to select the right testing metrics for automation

• Establish your goals for the automation testing process. It will increase test coverage, enhance software quality, maximize resource use, or speed up time to market, for instance.
• Verify the essential quality factors that are important for your software. These qualities may include reliability, performance, security, usability, and maintainability.
• Take into mind the specific characteristics and requirements of your project and domain. Consider elements including the type of software being tested, its complexity, the intended audience, and any standards or rules that are unique to the industry.
• Establish baseline values and goals for the selected metrics. This provides a benchmark for measuring progress and helps evaluate the effectiveness of automation testing efforts over time.
• Be open to adapting and refining your selection of metrics as the project progresses. As you gain more experience with automation testing and gather more data, you may identify additional metrics that are more relevant or discard metrics that do not provide meaningful insights.

Bottom Line

Many businesses have established extensive automation test suites to speed up the testing process using the right automation tools and considering practical metrics that are worth considering. The positive rate in these measures demonstrates that your business software testing efforts are proceeding as planned.

Sapizon technologies is among the top software testing company that uses the best metrics to deliver quality software solutions.

 

Test automation shapes software product and modern test automation techniques benefit organizations in various ways. The automation testing team prepares the test data, executes the test cases across multiple platforms, and identifies the bugs early in the development cycle. Test automation also reduces the cost, and time, and improves the productivity of the organization.

Applying best practices from the beginning stage of test automation can help in the smooth execution of test cases.  To give the best quality and secure applications robust automation tools are used these days. The market for automation testing is anticipated to expand at a rate of 14.2 CAGR between 2021 and 2026.

Even though automation testing has a lot of benefits but still developers face some challenges. At Sapizon we provide various test automation services to make your software solution bug free.

In this article, we will see the common challenges of an automation testing and how to overcome them.

Why does an Automation Project fail?

1. Using automation to achieve success

Test automation does not completely imply automation testing. It frees up the time for manual testing like testing unstable features and exploratory testing. The total 100% coverage cannot be attained by automation testing.

It is recommended to automate the test suites and begin by automating the easiest flows. These are the test suites that are simple and do simple things over and over.

2. Testing for multiple things in a single test case

There are several reasons test automation can fail, and it can be examined to see what went wrong. When using automation testing, it is always preferable to create modular parts that can be reused in other contexts rather than combining several tests in a single instance. This will minimize the effort required to develop a new test case while maximizing the reusability of previously developed test case logic.

3. Using an appropriate tool

The test automation platform you choose should meet all the technical requirements. This includes installing the tool in your system and allowing the users to test with your software.

Selecting the tool based on current challenges and automation goals may lead to risk in the long run if it is not a perfect fit for your organization.

4. Trying to execute a huge number of test cases in a predefined order

Each test case should run independently without relying on the other cases and the order should not matter. If your test suite contains hundreds of tests that must be run in a specific order, and one of the test cases fails, you must re-run the entire suite when doing re-testing. Again, identifying the errors require manual intervention.

How to overcome the challenges in Test Automation?

1. Effective Team collaboration and communication

This may be a challenging task for both manual testing and test automation teams. It is more difficult in test automation than in manual testing because the automation team must communicate and work together more.

Test automation requires investment and just with it, we need to make a considerable effort to communication, and present considerable evidence and historical data to get the entire team involved in creating test automation objectives and setting targets.

Automation testers discuss not only the plan, scope, and timescale with developers, business analysts, and project managers.  They also discuss what should be done in automation and what should be done manually with the developer and technical architects.

2. Choosing the proper tool

There are multiple testing tools available today that support various testing techniques, ranging from open-source tools like Katalon and Selenium to commercial tools like TestComplete. Each tool typically supports specific circumstances.

Testing product vendors frequently overstate the capabilities of their product. Vendors frequently believe they have some secret for every automation procedure. This leads to misunderstandings and confusion that make it difficult to choose the right testing tool that will meet all needs.

People choose tools without doing enough research and buy commercial tools based on the wrong evaluation. Without a suitable testing tool, it will end up in failed test automation results.

3. Demanding professional resources

Some people believe that test automation can just be handled by manual testers because of recording test scripts and playing them quickly. But this is a completely wrong approach because automation testing requires expertise to precisely develop and manage test automation framework and test scripts, build solutions, and address technical challenges.

Automation testing resources must have deep knowledge of the framework’s design and implementation.  The resources should have strong programming abilities and reliable test automation techniques to meet the job requirements.

4. Choosing an Effective Testing Methodology

Automation testing not only requires the right tool but also needs the right testing methodology. Finding a suitable test automation strategy is crucial for testers from a technical perspective. To accomplish that they must answer several questions, how to reduce the execution and maintenance of test scripts?

Will test suites for automation have a long lifespan? How can I create effective test metrics and reports? An ideal test automation solution would be able to detect these problems with automatic updating and revalidate the test without the need for human intervention.

5. Expensive in front investment

The initial phase of test automation is expensive. It is essential to analyze, design, and build a test automation framework and reusable functions. In some cases, it is necessary to account for licensing fees, facilitating expenses, and running costs like those associated with hardware and software.

Although we use free open-source tools to reduce the licensing costs but spend more on learning, training, and maintenance. Regression testing cycles offer a significant long-term effect but getting the stakeholders to agree on this expenditure is difficult. Many people give up test automation owing to budget constraints.

Conclusion

Teams that start their test automation journey with planning are more likely to avoid major blunders that end up in the replacement of tools. Test automation is very much essential in modern technological development where the software world is customer driven and the end users’ experience affects the revenue and growth of the company.

Sapizon Technologies is a leading test automation company which delivers one-stop solution for all automation software testing needs.

Looking to test your product? Get in touch with us now!

 

The constant evolution of technology has brought many new services and tools which completely depend on the integration between various software, application, and systems for better communication with consumers. These tools and services are attacked by malicious software and cause severe vulnerabilities.

The most prevalent API attacks are covered below, along with tips on how to completely avoid them. This will aid you in protecting your application from hackers and enhance the overall security of your company.

What is an API attack?

API (Application Programming Interface) is almost present everywhere in IT such as web platforms, mobile applications, cloud infrastructure, etc. The API facilitates the exchange of data with a wide variety of customers, partners, and employees. They form communication between the different systems with multiple codes without any help from the users.

Many APIs have become a challenging factor for many IT professionals. Cybercriminals are coming up with new techniques to attack the systems.  The hackers get access to sensitive, financial, and medical data information of an enterprise using vulnerable APIs which causes huge losses.

How does it work?

APIs are responsible for saving data on implementation techniques and their organizational structure. When a hacker gains control over this data, he can use it to carry out online assaults. Most of the time, the hacker will try to find API vulnerabilities. The difficulty in identifying API attacks is tedious because they differ from one another. Hence you must be familiar with the most typical types of API attacks and how they operate.

Let’s go deep to find the common API attacks and how to avoid them.

1. DoS/DDoS attacks

Denial of Service or Distributed Denial of Service aims to prevent the intended users from accessing the targeted system. DoS attacks have the complete potential to drain the victim’s resources with little bandwidth.

On the other part, a DDoS attack involves several terabits of incoming bandwidth per second. They attain so much publicity when these attacks occur on most known websites. These attacks have now been frequent among API endpoints.

2. SQL Injection attacks

It is a technique for inserting SQL queries through the system’s SQL database into input fields. They can be exploited if forms enable users to query the database using SQL commands. It is one of the long-standing attacks under API.

3. MITM(Man in the Middle)

It occurs when an attacker deliberately changes, relays, and intercepts requests and messages between two parties to get sensitive information. A hacker can completely manipulate the HTTP header, a user, and a session token issuing API.

This session token would give the hacker access to the user’s account and a wealth of private and sensitive data.

4. Excessive data exposure

Sensitive information like credit card numbers, passwords, session tokens, private health information, and others, is frequently processed and transferred by web apps. When this information is accessible to anyone on the server for anyone to access then it is information exposure.

This occurs mostly when an API does not filter the response before it reaches the client. It is considered the failure of the developer to handle the data correctly.

5. Improper assets management

When there are many versions of an API, and the developer forgets to remove the first one or in another case when a testing API endpoint is still connected to the production environment than an improper asset is created.

Updated documentation is highly important because APIs expose more endpoints than traditional web applications. Reducing concerns with outdated or vulnerable API versions is also largely dependent on effective inventory management.

6. Broken access control

Users are prevented from accessing outside the scope of their authorized permissions by an access control policy. Failure results in data deletion, data change, or information leakage. We can interfere with settings when searching for this kind of vulnerability and launch a successful attack. Depending on the vulnerability, the results could be disastrous.

An unauthorized person having access to a privileged function is the worst-case situation. As a result, they may be able to alter or remove website content or obtain sensitive user information.

7. Unencrypted communication

It is one of the simplest and most fundamental API security protection techniques is Transport layer security (TLS). It protects against the man-in-the-middle attack by encrypting the data transfer between the client and the server. Poodle is a famous TLS exploit that was discovered in 2014. It is a less secure.

How to avoid and defend from API vulnerabilities?

• Make sure that only people with permission can access the system by using strong passwords and other security measures. Use two-factor authentication for users and make sure each user has a unique password. Stay up to date with the new security trends.
• Regularly check your API for flaws. Before incorporating any user input into an application, developers must thoroughly verify it. To avoid Denial-of-Service attacks, you should also carefully manage the volume of incoming requests. Be cautious while building APIs to protect sensitive company information from exposure. Use penetration testing techniques to find any systemic flaws and address them as soon as you can.
• Always confirm that user input is coming from a reliable source before acting on it. Online tools like the Trustworthy Repositories Audit & Certification (TRAC) program and the OWASP Top 10 for APIs are just a couple that may keep you informed.

Bottom Line

Information security is one of the crucial factors in the development life cycle. Hackers will continuously find new ways to exploit API security. Companies need to accomplish strong security strategies for the protection of API from hackers. API security should be the top priority if sensitive information is to be safeguarded.

We have looked at 7 different types of API vulnerabilities and how to defend them. Companies must be aware of vulnerabilities and take the required precautions to safeguard their APIs from malicious activities.

At Sapizon Technologies we write robust APIs for protecting your data and sensitive information.

 

In the era of rapid technological advancements, software testing is crucial. It assures that the product is functioning in a highly competitive market.

The selection of the appropriate test method to test the software solution is crucial as it will determine the efficiency that the program can deliver.

Testing processes for software are being moved over from manually conducted tests to automated testing since it decreases the time required for the testing process and provides accurate results. Each automated test focuses on a specific issue.

For example, Unit testing is conducted by the developers to make sure that every feature of the application functions correctly. But, Integration testing determines whether your application’s subunits or modules are functioning or not.

Knowing the strengths of each test can help optimize the testing process and determine which methods are appropriate for various testing methods. At the same time, specific tests are best performed by hand.

For example, constantly changing tests, either one-off or random tests that require the examination of specific conditions.

The proper test method will guide you in the correct direction and produce a top-quality product. Several variables affect the appropriate testing technique for the particular process.

Here are some factors that can help select the most appropriate testing method.

Models Used in Development

Many software development models that are utilized in the field of software engineering. Each requires a particular tool since their methods of operation are distinct.

Different types of software models are used during the development process: Spiral Increment, RAD Agile, Iterative Prototype V-model, and Waterfall model and various tools are utilized to test the software. These comprise Selenium, TestComplete, Robot Framework and other. Each of these tools is used to serve a particular use to test software.

Most automated testing instruments are compatible with various software development models when used with the appropriate testing methodology. The models utilized during the development process decide the best method to test the software.

Objectives of Tests

Each tester of software has a distinct goal. This is the reason why they carry out the process of testing software. It can be about identifying flaws and preventing defects or making sure that the results are in line with the user’s specifications or that the software is compatible with the requirements of the business.

Finding bugs is not the same as checking that the software meets users’ requirements. The most common causes of defects are programmer’s work when developing software. The test goal determines the correct method to follow to test software.

If you are aware of the objective of the test or the issues you are testing, you’ll be mindful of the software you need and the appropriate method. In the end, you’ll select an approach that can cope with the demand of the job.

Suppose you’re carrying out an extensive bug testing procedure. In this scenario, you’ll need to choose specific methods for testing.

Regulatory Requirements

If you’ve ever been in a controlled industry, you will have a good idea of how changes in rules affect the development of products. These regulations add tasks since there has to be a tracking system in place to ensure that necessary standards are followed.

If not, the software is not efficient and reliable and will be deemed dangerous by the authorities. Sometimes testers are challenged by rules when there’s a paradox between the design and regulations stipulated. It is essential to keep in mind that these rules are standard and followed internationally to ensure consistency in creating products. The regulations currently in place for software have an enormous impact on the testing methods used to test the software.

If you do not adhere to the regularities, you’re not adhering to the guidelines set out, which could result in serious legal problems. Any missed frequency can lead to long-lasting revisions.

Consider Similar Defects

Software testing defects are generally fixed step by step by defect resolution. The process starts with assigning particular defects to the specific developer, and the developer chooses the ones to be addressed according to the priority. Following the procedure, the final developers submit an update on the resolution to the tester.

The right approach to choose can be a challenge in the event of defects of all types. How do similar defects affect the best technique to choose? Knowing about similar faults can be extremely useful in specific software testing procedures.

If you can find a single method that can be used to eliminate one defect, then you can apply it to the other. Test a previous version and then compare it to the present test levels will help you decide the most appropriate method for the testing procedure.

Make Sure You have Budget and Time for Projects

How long is required to complete the testing of software? Budget and time are crucial in selecting the best method to conduct the process of testing software. Specific techniques must be executed quickly and efficiently, so high-end tools are needed to implement the chosen plan.

Utilizing tools that are slow to work can cause delays that ultimately impact the tool’s efficiency. When there’s more time available, you can choose affordable tools. Who wouldn’t want to save some money? You then can continue to work to finish your project and fix any bugs.

An organized plan is vital for slowly completing the testing process. With an adequate budget, it is possible to select the best method on the market to boost test experience.

Conclusion

When deciding on the best method for your software solution to test, various aspects are considered. It is all dependent on the amount of time and budget you have, the test goals, and the frequency required.

Considering similar issues is also crucial since it provides you with an understanding of the tools that you’ve previously used. These tips will make you a better tester and ensure that the products you build are successful.

 

Functional Testing is essential to ensure that the application that you have developed is ready for release. Functional tests are a way to define your system’s functionality. It requires that the tester validates the application to verify against client’s requirements. Functional Testing focuses on customer requirements, while Non-functional Testing focuses on customer expectations.

Functional testing is very important because it analyzes the individual components of an application in the context of the whole application. It examines one item, then identifies the integration points between it and other parts of an application to formulates a strategy for inspecting those weak spots. Application weaknesses are often found where parts of the application come together. It is a skilled work for exploiting these weaknesses to find bugs.

Functional testing in an organization will only succeed if it has clear quality fundamentals and everyone understands how testing contributes to the company’s goals. This testing is just one part of a comprehensive testing strategy. Depending on your company’s requirements and expectations, you should consider different testing activities, such as load, performance, and security testing.

Functional testing is different from other types because it closely matches the user’s experience.

It is a test of functionality and not structure. This testing is done from the user’s perspective which ensures that the system performs as users expect it to. This type of testing involves testing functionality and ensuring that output is consistent with the requirements.

What is Functional Testing?

Functional testing involves testing the ‘Functionality” of software or applications. It checks the software’s behavior against the Requirement Specification or Software Specification given by client. Based on this data, a set of test cases are prepared. The software is tested in real-world conditions to verify that the software produces the expected result. This is the Black Box Method. It is mostly done manually, but it effectively finds bugs.

Smoke Testing:

This testing is done before any actual system testing. It checks if critical functionality to perform further testing. It saves time and allows you to test the application without installing it again. It is a general way to test the application.

Sanity Testing:

This type of testing is where only one functionality or bug is fixed. It checks whether the functionality works as intended and if the changes in related components cause any other problems. This is a particular way to test the application.

Integration Testing:

It occurs when multiple functions or components are combined to create a system. This tests the software’s functionality when its components are combined to form a single unit.

After receiving the software build, it is done to verify that all bugs have been fixed. This test verifies that the bug has been fixed and confirms that the software works as expected.

Regression Testing:

This testing is executed to make sure that the fix applied for the bugs or new feature development have not created and glitch in existing functionality of an application. Regression testing normally being performed prior every release.

User Acceptance Testing:

It is where the application’s user comfort and acceptance are tested. This includes considering their ease of use. Clients or end-users are provided with a trial version of the software to test. This is known as Beta Testing or end-user testing.

Conclusion

Functional testing is one the vital testing of an application which plays an important role for any software product lifecycle. We at Sapizon Technologies, help our client to make sure their software solution is ready to hit the market.

Looking to test your product? Connect with us now!