Top 6 Challenges of API Testing

API Testing forms a core part of testing web applications. Generally, an Application programming interface (API) testing is defined as a means to “secure as well as optimize communication between various platforms, examining diverse components comprising pinpointing flaws, debugging, finding inconsistencies, lock down security & gauging performance. Testing APIs is faster than functional GUI test which overall guarantees core functionality & can easily incorporate with GUI testing. As with any attempt, some challenges will occur. Testing APIs is not an exception.

Starting with the benefits, it helps to discover some problems before they turn out to the aggressive one. It is time and cost-effective, as it always takes lesser time than functional GUI tests. The transfer model for API testing is language-independent, connotation you can prefer any language while executing API test. It can also be a central part of integration testing, for example with the GUI at a later phase. Other advantages are creating a better synergy among development teams & creating quick outcomes by reducing reliance on preconditions by isolating elements.

Below you’ll find the following 5 most common challenges encountered while testing APIs:

1. Initial Setting up of API Testing

Getting the initial set up of test infrastructure and running is one of the critical challenges of the process, not because it is an arduous task, but because it can be a considerable motivation-killer. Once you manage to motivate the dedicated software testing team to get through the important procedure, it pays off over the long-term.

Solution to the Challenge: After setting up your API testing environment, you can start with the collaboration of your app data with your API tests to make sure that the API performs as expected.

2. Updating the API Testing’ Schema

The schema in other sense, the data formatting that handles requirements and requests for the API –necessary to be maintained throughout the test procedure. Any up gradation to the program that creates added parameters for the API calls should be reflecting in the schema configuration.

Solution to the Challenge: In the current API economy, having an ever-changing Application programming interface helps facilitate the demand. But, there can be downtime caused by those modifications. The best method to avoid that is to comprehensively API test in alpha and beta environments. The possibilities of complications can easily decrease by 80-85 % percent when testing in such environments.

3. Testing All Possible Parameter Request Combinations

APIs handle communication amid systems by passing on data values to parameters & transiting those parameters through data needs. It is very crucial for testing all the essential parameter blending in the API to test for flaws about specific configurations. The bigger project could wind up assigning two varied values to the similar limits or create instances where numerical values appear when text values should be. Addition of extra parameter exponentially increases the no. of likely combinations.

Solution to the Challenge: Pick applications that are not complex to everyday operations. This way you can see how the API is being utilized, plus if any configurational modifications that require to be made to have a GA (general availability) release.

4. Testing team finding Validating Parameters challenging

Validating the parameters is one of the most essential things but challenging sometimes. It must demonstrate how fast you are serving those parameters. The team needs to be sure every single crucial parameter data uses the appropriate string or numerical data type, fits within an assigned value range, fits within length limitations, and passes another validation criterion.

Solution to the Challenge: This can be solved by having continuous synthetic API monitoring to grab the issues early on. Besides, it must be combined with an APM solution to get a complete 360-degree view.

5. Tracking System Integration

Finally, this challenge ensures that the API system is working properly with the data tracking system. This is critical to bring back correct responses on whether or not a call is working accurately. It’s also utilized to examine APIs performance. As this particular step can come late in the process, the expert tester may find it too exhausted to give it the interest it required.

Solution to the Challenge: Focus on the applications in the designing phase and check out how well it will integrate with other systems. Various apps have diverse needs that need to be met. Try to make certain that you are not causing your apps to fail by testing in parallel with critical integration systems. It is accomplished by implementing load testing in your continuous delivery.

Overall, API testing is a crucial part of applications development in the modern business environment. Contact us to solve the glitches in your app.

Top Software Testing Trends in 2019

The introduction of new technologies has brought the current updates in the software design, development, software testing & delivery. There has been great progress in the software testing field with new software testing trends coming into IT industry services. Quality Assurance and Software testing have come a long way. From a gate-keeping quality approach to an active, more evolved, “fit-for-purpose” strategic role, QA is now quality engineering in a true sense.

Digital transformation is yet another significant point of focus for the industries and the enterprises are ranking high on cloud computing, big data, business analytics and. With the advent of DevOps and Agile development technologies, the software development business is undergoing major interference. The new addition is the agile methodology adoption to undertake a digital transformation. Agile methodology aids to align digital transformation initiatives with business requirements.

As we head into 2020, we can expect to reach critical milestones as various new software testing trends take hold. Are you ready to explore these trends in software testing? Here are the top software testing trends 2019 the ImpactQA team expects to see take shape in the year ahead:

1- Quality Assurance Shifts to Quality Engineering- Quality Assurance is now a complex field that covers a wide range of technology and skills. From automation testing and DevOps to pipeline integration, QA has evolved well beyond its initial scope. To keep pace with this evolution, we’ll see a strong shift from QA to quality engineering.

2- Increasing adoption of Agile & DevOps– To keep pace with this growth, enterprises are not looking at having centralized Test Centers of Excellence any longer. The erstwhile testing arena is making a shift towards quality engineering, & software testing is intended to become progressive, iterative, and flawlessly integrated with development.

3- High Level of Test Automation- According to a current study on automation testing trends, 44% of businesses expect to automate 50% or more of testing in 2020. Organizations see several benefits, counting improved test coverage, faster software testing cycles, and the ability to catch defects earlier. To maximize the scalability of test automation even, ‘Script-less Test Automation’ is introduced.

4- Big Data Testing- There is varied types of software testing in Big Data projects like Database testing, Infrastructure, Functional Testing, and Performance testing. Big Data defined as a high volume of data unstructured or structured. The quality of data is also a significant factor in big data testing. The data quality is checked on account of various traits like accuracy, conformity, validity, consistency, data completeness, duplication, etc.

5- IoT Testing- Gartner estimates the number of IoT devices worldwide will reach approximately 20.4 billion by the year 2020. Hyper-connectivity is taking across the globe and the number of connected devices is estimated to be 1 trillion (by the year 2025). IoT test approaches have also emerged & necessitated a varied set of tools and techniques altogether. The focus is on connectivity, usability, security, performance, and compatibility testing. The variety of testing for IoT systems are:

  • Compatibility Testing
  • Performance Testing 
  • Usability Testing
  • Reliability & Scalability Testing
  • Data Integrity Testing
  • Security testing

6- Performance Testing Shifts to Performance Engineering- Performance testing will be replaced by performance testing. Rather than executing test scripts, the focus will be on analyzing how each component of the system work together. The variety of elements of the system comprises security, performance, hardware, usability, software, configuration, business value, and the client. Performance engineering will assist in exceeding client expectations in 2020.

7- Robotic Process Automation (RPA)– Latest and new-edge technologies, like cognitive computing, the Internet of Things (IoT), Artificial intelligence (AI), and machine learning are revolutionizing all domains. Progress in software and Artificial Intelligence world has paved the way for Robotic Process Automation (RPA). It is the latest technology which can re-invent the business process management landscape.

Organizations face countless software testing challenges and choices these days as technology evolves and the digital economy grows. Adopting the right software testing trends, tools and processes will help organizations to stay competitive or on top of their game. Embrace the change, and lead the way to a better-progressive future.

Software Testing Strategy & Challenges in 2019

Building a successful software testing strategy is the tricky task and the approach will vary on a team to team. Some may include automation engineers than manual testers, while some may have shifted left and depend on expert developers to do the heavy lifting. Deadlines, Budget, application type, and development model are all driven factors that impact how a software testing strategy outlined should be implemented. There are distinct approaches, all of which are equally significant to reach a realistic decision to the pressing questions facing testers and developers:

  • Do all features effectively process and function as expected?
  • Can the app withstand the heavy load demands?
  • Are there security vulnerabilities that could put users at threat?
  • Is the app simple to use?

Factors to Consider while picking out the right Software testing Strategies:

  1. RISKS
  2. SKILLS
  3. OBJECTIVES
  4. BUSINESS
  5. PRODUCT
  6. REGULATIONS

You must select software testing strategies with an eye towards the above factors mentioned earlier, the budget, schedule, and attributes constraints of the project and the realities of the enterprises and its politics. The methodologies, tools, and patterns for testing have evolved with the changing needs. For example, as per industry reports and core analysis, DevOps and Agile have been the primal drivers for growth in the test market. There is an undying necessity to launch apps at speed and keep up quality at the same time. Consequently, in modern era test starts way ahead in the development lifecycle rather of being introduced at the final stage of the development process. Implementing a robust strategy is the foundation of uninterrupted delivery, and automation is the key to a successful constant delivery pipeline.

Let us have a glance at some software testing challenges that 2019 plans to bring for the tests fraternity:

  • Developing skills for the trendy term “Agile and DevOps”- According to Technavio’s market research analysts- the global market will grow uniformly at a CAGR of around 14% untill 2021. Test Automation services and Agile services will be the key growth drivers. Testers must adopt DevOps and Agile skills to ensure heightened performance, velocity, and flexibility in the software development process.
  • Preference for Open-Source platforms- Increasing adoption for Open-Source platforms for testing not only brings cost-effectiveness but also brings in a community of experts for assistance. This has resulted in the high preference of open-source platforms like Selenium.
  • Interface with social media- It is the requirement that every single app should interface with social media. It implies that testers are required to build social media networking skills. Users need instant access to resources, content, discussions, and stay updated.
  • Acceptance and adoption of Automation over Manual- The complexities with apps and software are high and there is a great demand for third-party integration. Tests are required regularly, which might reach a dead point if automation is not done.
  • Dealing with issues and up-gradation in Web & Mobile Technologies- Devices and screen dimensions are enormously upgrading and changing. This has resulted in complications, so the best way out is to keep a check on the web and mobile technology progressions and guide the coding architecture & cope with technical challenges to deliver robust Quality Assurance solutions.
  • Processes to offer immediate Customer support-Today it is imperative for apps to build instant support and feedback execution mechanisms within the software.
  • Think beyond Methodologies, get logical- Technologies like Agile, Automation, Shift-left, DevOps, and Service Virtualization have added immense value to boost and accelerate the software test cycle. However, today testers are expected to add logic and think beyond just test. Good Analytics, logical thinking, reasoning skills, can assist in driving more credible results with standards.

These could be top software testing challenges that testers might face while building a suitable strategy and harnessing the essential skills. However, overcoming these software testing challenges will help experts to move beyond the mundane action and leapfrog into a strategic position in the complete development cycle.

5 Most Popular Penetration Testing Tools In 2019

Penetration testing (also named as Pen Testing) is a type of Security Testing used to test the insecure areas of the app or system. A penetration test is a broad way of testing the company’s cyber security vulnerabilities. If a hacker were going to target you:

A) Would they be successful? and
B) How would they perform it

The list of the 5 Best Security or Penetration Testing tools used by Software testers are as follows:

1- Wireshark

Wireshark
Wireshark

This tool is an award-winning network protocol analyzer. This open-source tool is available for different systems including FreeBSD, Solaris, Linux, and Windows. With Wireshark software tool, you can rapidly capture & interpret network packets. The details that are retrieved by the use of this tool can be checked through the TTY mode TShark Utility or a GUI.

2- Netsparker

Netsparker
Netsparker

Netsparker Security Scanner is a well-admired tool for penetration testing. The software can track everything from cross-site scripting to SQL injection. Developers can use this tool on websites, web apps, and web services. It is obtainable as an on-premises & SAAS solution.

3- Network Mapper (also called as “NMAP”)

Network Mapper
Network Mapper

This popular tool is used primarily for discovering weaknesses or holes in the network environment of a corporation or a business. Network Mapper can be used at any phase of the Penetration Test procedure, and even has built-in scripting features accessible to help automate any test process. The traits comprise OS, services, host, packet filters/firewalls, etc. It is open- sourced and works in various environments.

4- Metasploit

Metasploit

Metasploit

It is the most used pen-testing framework (automation) in the world. Metasploit is useful for checking security and pinpointing errors, setting up a defense. It also helps expert teams verify & manage security assessments, improves awareness, and empowers protector to stay a step ahead in the game. It has the GUI clickable interface works on Apple Mac OS X, Linux, and Microsoft Windows.

5- BeEF

Browser Exploitation Framework BeEF
Browser Exploitation Framework BeEF

BeEF stands for Browser Exploitation Framework. This is a penetration testing tool which is best suited to check a web browser. It uses GitHub to locate issues. It is also an open-source and is adapted to combat web-borne attacks & could benefit mobile clients. It has a Graphical User interface, works on Apple Mac OS X, Microsoft Windows and Linux.

Nevertheless, penetration test tools dig deeper and examine your environment in a way that a vulnerability scan merely doesn’t.

Assess our exceptional security testing services and combat the vulnerabilities before potential attackers do.

Why do we need a framework for Automation Testing?

In the present market scenario, enterprises not only want to test Software efficiently but also as rapidly and comprehensively as possible. To attain this goal, companies are turning to test automation. We mainly need frameworks for test automation to standardize the test automation process irrespective of the tool and give effective results.

The test automation frameworks are essentially a set of best practices or guidelines which can be followed in an organized way to attain the preferred result. When it comes to test automation there is the listing of tools available in the market, you can drive all the tools using a single framework and see results. The complete potential of a tool can be extracted using automation frameworks and it also aids in the result accuracy.

Three key technical entities (resources) in the automation project are:

  • Code- script
  • Data
  • Objects and their definition on the AUT
Test Automation Framework
Test Automation Framework

Why do we need the Automation Framework?

Automation Framework is a framework that is formed specifically to give an execution environment for the test scripts. It provides several benefits to the users that help them to develop, execute, & report on automated test scripts effectively. What if the Test script fails for no valid reason? The automation framework helps us catch different recovery scenarios and handle them graciously. Debugging is not a complicated task if you have the framework in place instead of the chaotic collection of Test data & Test Scripts.

Here are some benefits of using an Automation Framework:

1- Scalability- The high-quality automation framework design is scalable when the demand increases for instance- when numerous web pages are being added or data or Objects. The framework should be much quicker to extend to big projects.

2- Easy scripting- The programmer has their specific coding style. With multiple Testers in a team, having a framework in the correct place make sure that best practices and consistent coding are followed to a certain level. It also avoids duplicate coding and assists in streamlining testing projects that involve a software tester’s team working on numerous features of an application.

3- Flexibility and Modularity- The biggest advantage of using an automation framework is its flexibility and modularity. The framework or test automation makes sure that the mountain task is broken down to manageable rocks which can then be reusable as & when needed.

4- Excessive coverage- The automation framework gives us to maintain a huge range of Test data, i.e. coverage in turn.

5- Segregating Tests & Final Configuration- One of the core challenges of manual testing is that it takes enormous time to segregate test script logic. There is also the possibility to commit errors. Though, when the same thing is done on an automation framework it can be done in minutes. The configuration of the tests can be done within a short time because the framework allows the test suites to cover every aspect of apps in the configuration procedures.

6- A degree of re-usability– This is another major advantage of implementing the automation frameworks for test automation. It introduces the re-usability rate. Common library files can be reusable as and when necessary, no need to develop them every single time.

7- Less manual intervention- The automation framework can easily take care of humdrum and pointless manual tasks.

8- Efforts in reporting- The reporting module within the automation framework can easily handle all the report requirements. The automation framework for test automation allows for user-friendly interface and reporting options.

9- Systematic integration- The framework for automation can aid in the current era of continuous integration.

Overall, it has been a revelation for programmers and plays a crucial role in automatic testing procedures.