Sample Exam 1 ISTQB Performance Testing
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Types of Software Testing
Types of Software Testing We would be glad to have feedback from you. Drop us a line, whether it is a comment, a question, a work proposition or just a hello. You can use either the form below or the contact details on the rightt. Contact details [email protected] +91 811 386 5000 1 Software testing is the way of assessing a software product to distinguish contrasts between given information and expected result. Additionally, to evaluate the characteristic of a product. The testing process evaluates the quality of the software. You know what testing does. No need to explain further. But, are you aware of types of testing. It’s indeed a sea. But before we get to the types, let’s have a look at the standards that needs to be maintained. Standards of Testing The entire test should meet the user prerequisites. Exhaustive testing isn’t conceivable. As we require the ideal quantity of testing in view of the risk evaluation of the application. The entire test to be directed ought to be arranged before executing it. It follows 80/20 rule which expresses that 80% of defects originates from 20% of program parts. Start testing with little parts and extend it to broad components. Software testers know about the different sorts of Software Testing. In this article, we have incorporated majorly all types of software testing which testers, developers, and QA reams more often use in their everyday testing life. Let’s understand them!!! Black box Testing The black box testing is a category of strategy that disregards the interior component of the framework and spotlights on the output created against any input and performance of the system. -
Smoke Testing What Is Smoke Testing?
Smoke Testing What is Smoke Testing? Smoke testing is the initial testing process exercised to check whether the software under test is ready/stable for further testing. The term ‘Smoke Testing’ is came from the hardware testing, in the hardware testing initial pass is done to check if it did not catch the fire or smoked in the initial switch on.Prior to start Smoke testing few test cases need to created once to use for smoke testing. These test cases are executed prior to start actual testing to checkcritical functionalities of the program is working fine. This set of test cases written such a way that all functionality is verified but not in deep. The objective is not to perform exhaustive testing, the tester need check the navigation’s & adding simple things, tester needs to ask simple questions “Can tester able to access software application?”, “Does user navigates from one window to other?”, “Check that the GUI is responsive” etc. Here are graphical representation of Smoke testing & Sanity testing in software testing: Smoke Sanity Testing Diagram The test cases can be executed manually or automated; this depends upon the project requirements. In this types of testing mainly focus on the important functionality of application, tester do not care about detailed testing of each software component, this can be cover in the further testing of application. The Smoke testing is typically executed by testers after every build is received for checking the build is in testable condition. This type of testing is applicable in the Integration Testing, System Testing and Acceptance Testing levels. -
Parasoft Static Application Security Testing (SAST) for .Net - C/C++ - Java Platform
Parasoft Static Application Security Testing (SAST) for .Net - C/C++ - Java Platform Parasoft® dotTEST™ /Jtest (for Java) / C/C++test is an integrated Development Testing solution for automating a broad range of testing best practices proven to improve development team productivity and software quality. dotTEST / Java Test / C/C++ Test also seamlessly integrates with Parasoft SOAtest as an option, which enables end-to-end functional and load testing for complex distributed applications and transactions. Capabilities Overview STATIC ANALYSIS ● Broad support for languages and standards: Security | C/C++ | Java | .NET | FDA | Safety-critical ● Static analysis tool industry leader since 1994 ● Simple out-of-the-box integration into your SDLC ● Prevent and expose defects via multiple analysis techniques ● Find and fix issues rapidly, with minimal disruption ● Integrated with Parasoft's suite of development testing capabilities, including unit testing, code coverage analysis, and code review CODE COVERAGE ANALYSIS ● Track coverage during unit test execution and the data merge with coverage captured during functional and manual testing in Parasoft Development Testing Platform to measure true test coverage. ● Integrate with coverage data with static analysis violations, unit testing results, and other testing practices in Parasoft Development Testing Platform for a complete view of the risk associated with your application ● Achieve test traceability to understand the impact of change, focus testing activities based on risk, and meet compliance -
Software Testing: Essential Phase of SDLC and a Comparative Study Of
International Journal of System and Software Engineering Volume 5 Issue 2, December 2017 ISSN.: 2321-6107 Software Testing: Essential Phase of SDLC and a Comparative Study of Software Testing Techniques Sushma Malik Assistant Professor, Institute of Innovation in Technology and Management, Janak Puri, New Delhi, India. Email: [email protected] Abstract: Software Development Life-Cycle (SDLC) follows In the software development process, the problem (Software) the different activities that are used in the development of a can be dividing in the following activities [3]: software product. SDLC is also called the software process ∑ Understanding the problem and it is the lifeline of any Software Development Model. ∑ Decide a plan for the solution Software Processes decide the survival of a particular software development model in the market as well as in ∑ Coding for the designed solution software organization and Software testing is a process of ∑ Testing the definite program finding software bugs while executing a program so that we get the zero defect software. The main objective of software These activities may be very complex for large systems. So, testing is to evaluating the competence and usability of a each of the activity has to be broken into smaller sub-activities software. Software testing is an important part of the SDLC or steps. These steps are then handled effectively to produce a because through software testing getting the quality of the software project or system. The basic steps involved in software software. Lots of advancements have been done through project development are: various verification techniques, but still we need software to 1) Requirement Analysis and Specification: The goal of be fully tested before handed to the customer. -
Security Testing TDDC90 – Software Security
Security Testing TDDC90 – Software Security Ulf Kargén Department of Computer and Information Science (IDA) Division for Database and Information Techniques (ADIT) Security testing vs “regular” testing ▪ “Regular” testing aims to ensure that the program meets customer requirements in terms of features and functionality. ▪ Tests “normal” use cases Test with regards to common expected usage patterns. ▪ Security testing aims to ensure that program fulfills security requirements. ▪ Often non-functional. ▪ More interested in misuse cases Attackers taking advantage of “weird” corner cases. 2 Functional vs non-functional security requirements ▪ Functional requirements – What shall the software do? ▪ Non-functional requirements – How should it be done? ▪ Regular functional requirement example (Webmail system): It should be possible to use HTML formatting in e-mails ▪ Functional security requirement example: The system should check upon user registration that passwords are at least 8 characters long ▪ Non-functional security requirement example: All user input must be sanitized before being used in database queries How would you write a unit test for this? 3 Common security testing approaches Often difficult to craft e.g. unit tests from non-functional requirements Two common approaches: ▪ Test for known vulnerability types ▪ Attempt directed or random search of program state space to uncover the “weird corner cases” In today’s lecture: ▪ Penetration testing (briefly) ▪ Fuzz testing or “fuzzing” ▪ Concolic testing 4 Penetration testing ▪ Manually try to “break” software ▪ Relies on human intuition and experience. ▪ Typically involves looking for known common problems. ▪ Can uncover problems that are impossible or difficult to find using automated methods ▪ …but results completely dependent on skill of tester! 5 Fuzz testing Idea: Send semi-valid input to a program and observe its behavior. -
Stress Testing Embedded Software Applications
Embedded Systems Conference / Boston, MA September 20, 2007 ESC-302 Stress Testing Embedded Software Applications T. Adrian Hill Johns Hopkins University Applied Physics Laboratory [email protected] ABSTRACT This paper describes techniques to design stress tests, classifies the types of problems found during these types of tests, and analyzes why these problems are not discovered with traditional unit testing or acceptance testing. The findings are supported by citing examples from three recent embedded software development programs performed by the Johns Hopkins University Applied Physics Laboratory where formal stress testing was employed. It also defines what is meant by the robustness and elasticity of a software system. These findings will encourage software professionals to incorporate stress testing into their formal software development process. OUTLINE 1. INTRODUCTON 1.1 What can be learned by “breaking” the software 2. DESIGNING A STRESS TEST 2.1 What is a reasonable target CPU load? 2.2 Other ways to stress the system 2.3 Characteristics of a Stress Test 3. REAL WORLD RESULTS 3.1 Case #1: Software Missed Receiving Some Commands When CPU Was Heavily Loaded 3.2 Case #2: Processor Reset when Available Memory Buffers Were Exhausted 3.3 Case #3: Unexpected Command Rejection When CPU Was Heavily Loaded 3.4 Case #4: Processor Reset When RAM Disk Was Nearly Full 3.5 Synopsis of All Problems Found During Stress Testing 4. SUMMARY 1. INTRODUCTON Traditional Software Acceptance Testing is a standard phase in nearly every software development methodology. Test engineers develop and execute tests that are defined to validate software requirements. -
Testing Techniques Selection Based on SWOT Analysis
International Journal of Knowledge, Innovation and Entrepreneurship Volume 2 No. 1, 2014, pp. 56—68 Testing Techniques Selection Based on SWOT Analysis MUNAZZA JANNISAR, RUQIA BIBI & MUHAMMAD FAHAD KHAN University of Engineering and Technology, Pakistan Received 02 March 2014; received in revised form 15 April 2014; approved 22 April 2014 ABSTRACT Quality is easy to claim but hard to achieve. Testing is a most essential phase in software development life cycle not only to ensure a project’s success but also customer satisfaction. This paper presents SWOT Analysis of three testing tech- niques—White-Box, Black-Box and Grey Box. The testing techniques are evaluated on the basis of their strengths, weaknesses, opportunities and threats. The analysis in this paper shows that selection of the techniques should be based on a set of defined attrib- utes, context and objective. The findings in this paper might be helpful in highlighting and addressing issues related to testing techniques selection based on SWOT analysis. Keywords: Black Box Testing, White Box Testing, Grey Box, SWOT Introduction Software plays a substantial role in every sphere of life. It is a key reason why software engineering continually introducing new methodologies and improvement to software development. The capacity of organisations to achieve customer satisfaction or to cor- rectly identify the needs of customers can be misplaced, leading to ambiguities and un- wanted results 1. Researchers have suggested many testing techniques to deal with fault identification and removal subjects, before the product [software] is shipped to cus- tomer. Despite many verification and validation approaches to assuring product quality, defect-free software goal is not very often achieved. -
Putting the Right Stress Into WMS Volume Testing Eliminate Unwelcome Surprises
v i e w p o i n t Putting the Right Stress into WMS Volume Testing Eliminate unwelcome surprises. When implementing or upgrading a Warehouse Management System (WMS) in a high volume environment, it should be a given that a significant amount of effort needs to be dedicated to various phases of testing. However, a common mistake is to ignore or improperly plan for volume testing. So what types of processes should be tested? There is unit testing that validates segments of functionality, RF Floor Transactions - This should involve the more interface testing that checks the flow of data between systems, commonly used RF transactions such as putaway and picking. user acceptance testing that involves the end user group It is not a good idea to include every type of RF activity. That working through scripted functional flows, and field testing that means you probably will not be paying too much attention to executes an augmented version of the user acceptance testing cycle counts as a part of your stress test. on the distribution center floor. Wave Processing - It is absolutely necessary to know how Volume testing, also known as stress testing, is an assessment long it will take to process each day’s orders. In addition, it is that may be ignored. This is a mistake, because this puts a strain important to validate if there are any important processes that on the processes within the WMS, as well as its interfaces in cannot be executed during wave processing. For example, the order to identify conditions that would result in a slow-down testing may reveal that RF unit picking is an activity that cannot or catastrophic crash of the system. -
Scalability Performance of Software Testing by Using Review Technique Mr
International Journal of Scientific & Engineering Research Volume 3, Issue 5, May-2012 1 ISSN 2229-5518 Scalability performance of Software Testing by Using Review Technique Mr. Ashish Kumar Tripathi, Mr. Saurabh Upadhyay, Mr.Sachin Kumar Dhar Dwivedi Abstract-Software testing is an investigation which aimed at evaluating capability of a program or system and determining that it meets its required results. Although crucial to software quality and widely deployed by programmers and testers, software testing still remains an art, due to limited understanding of the principles of software, we cannot completely test a program with moderate complexity. Testing is more than just debugging. The purpose of testing can be quality assurance, verification and validation, or reliability estimation. Testing can be used as a generic metric as well. Correctness testing and reliability testing are two major areas of testing. Software testing is a trade-off between budget, time and quality. Index Terms--Software testing modules, measurement process, performance and review technique. —————————— —————————— 1-INTRODUCTION throughput of a web application based on requests per esting is not just finding out the defects. Testing is second, concurrent users, or bytes of data transferred as not just seeing the requirements are Satisfied which well as measure the performance. T are necessary in software development. Testing is a process of verifying and validating all wanted requirements 3-PROCESS FOR MEASUREMENT is there in products and also verifying and validating any unwanted requirements are there in the products. It is also In the measurement of configured software there are seeing any latent effects are there in the product because of several technique can be applicable these requirements. -
Performance Testing, Load Testing & Stress Testing Explained
Performance Testing, Load Testing & Stress Testing Explained Performance testing is key for understanding how your system works. Without good performance testing, you don’t know how your system will deal with expected—or unexpected—demands. Load testing and stress testing are two kinds of performance testing. Knowing when to use load testing and when to use stressing testing depends on what you need: Do you need to understand how your system performs when everything is working normally? Do you want to find out what will happen under unexpected pressure like traffic spikes? To ensure that your systems remain accessible under peak demand, run your system through performance testing. Let’s take a look. Performance vs load vs stress testing Performance testing is an umbrella term for load testing and stress testing. When developing an application, software, or website, you likely set a benchmark (standard) for performance. This covers what happens under: Regular parameters: If everything goes as planned, how does it work? Irregular parameters: Can my website application survive a DDoS attack? Load testing is testing how an application, software, or website performs when in use under an expected load. We intentionally increase the load, searching for a threshold for good performance. This tests how a system functions when it faces normal traffic. Stress testing is testing how an application, software, or website performs when under extreme pressure—an unexpected load. We increase the load to its upper limit to find out how it recovers from possible failure. This tests how a system functions when it faces abnormal traffic. Now let’s look at each in more detail. -
Model-Based Security Testing
Model-Based Security Testing Ina Schieferdecker Juergen Grossmann Fraunhofer FOKUS Fraunhofer FOKUS Berlin, Germany Berlin, Germany Freie Universitaet Berlin [email protected] Berlin, Germany [email protected] Martin Schneider Fraunhofer FOKUS Berlin, Germany [email protected] Security testing aims at validating software system requirements related to security properties like confidentiality, integrity, authentication, authorization, availability, and non-repudiation. Although security testing techniques are available for many years, there has been little approaches that allow for specification of test cases at a higher level of abstraction, for enabling guidance on test identification and specification as well as for automated test generation. Model-based security testing (MBST) is a relatively new field and especially dedicated to the sys- tematic and efficient specification and documentation of security test objectives, security test cases and test suites, as well as to their automated or semi-automated generation. In particular, the com- bination of security modelling and test generation approaches is still a challenge in research and of high interest for industrial applications. MBST includes e.g. security functional testing, model-based fuzzing, risk- and threat-oriented testing, and the usage of security test patterns. This paper provides a survey on MBST techniques and the related models as well as samples of new methods and tools that are under development in the European ITEA2-project DIAMONDS. 1 Introduction The times of rather static communication in strictly controlled, closed networks for limited purposes are over, while the adoption of the Internet and other communication technologies in almost all domes- tic, economic and social sectors with new approaches for rather dynamic and open networked environ- ments overwhelmingly progresses. -
Guidelines on Minimum Standards for Developer Verification of Software
Guidelines on Minimum Standards for Developer Verification of Software Paul E. Black Barbara Guttman Vadim Okun Software and Systems Division Information Technology Laboratory July 2021 Abstract Executive Order (EO) 14028, Improving the Nation’s Cybersecurity, 12 May 2021, di- rects the National Institute of Standards and Technology (NIST) to recommend minimum standards for software testing within 60 days. This document describes eleven recommen- dations for software verification techniques as well as providing supplemental information about the techniques and references for further information. It recommends the following techniques: • Threat modeling to look for design-level security issues • Automated testing for consistency and to minimize human effort • Static code scanning to look for top bugs • Heuristic tools to look for possible hardcoded secrets • Use of built-in checks and protections • “Black box” test cases • Code-based structural test cases • Historical test cases • Fuzzing • Web app scanners, if applicable • Address included code (libraries, packages, services) The document does not address the totality of software verification, but instead recom- mends techniques that are broadly applicable and form the minimum standards. The document was developed by NIST in consultation with the National Security Agency. Additionally, we received input from numerous outside organizations through papers sub- mitted to a NIST workshop on the Executive Order held in early June, 2021 and discussion at the workshop as well as follow up with several of the submitters. Keywords software assurance; verification; testing; static analysis; fuzzing; code review; software security. Disclaimer Any mention of commercial products or reference to commercial organizations is for infor- mation only; it does not imply recommendation or endorsement by NIST, nor is it intended to imply that the products mentioned are necessarily the best available for the purpose.