System and Software Testing Types
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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 -
Website Testing • Black-Box Testing
18 0672327988 CH14 6/30/05 1:23 PM Page 211 14 IN THIS CHAPTER • Web Page Fundamentals Website Testing • Black-Box Testing • Gray-Box Testing The testing techniques that you’ve learned in previous • White-Box Testing chapters have been fairly generic. They’ve been presented • Configuration and by using small programs such as Windows WordPad, Compatibility Testing Calculator, and Paint to demonstrate testing fundamentals and how to apply them. This final chapter of Part III, • Usability Testing “Applying Your Testing Skills,” is geared toward testing a • Introducing Automation specific type of software—Internet web pages. It’s a fairly timely topic, something that you’re likely familiar with, and a good real-world example to apply the techniques that you’ve learned so far. What you’ll find in this chapter is that website testing encompasses many areas, including configuration testing, compatibility testing, usability testing, documentation testing, security, and, if the site is intended for a worldwide audience, localization testing. Of course, black-box, white- box, static, and dynamic testing are always a given. This chapter isn’t meant to be a complete how-to guide for testing Internet websites, but it will give you a straightfor- ward practical example of testing something real and give you a good head start if your first job happens to be looking for bugs in someone’s website. Highlights of this chapter include • What fundamental parts of a web page need testing • What basic white-box and black-box techniques apply to web page testing • How configuration and compatibility testing apply • Why usability testing is the primary concern of web pages • How to use tools to help test your website 18 0672327988 CH14 6/30/05 1:23 PM Page 212 212 CHAPTER 14 Website Testing Web Page Fundamentals In the simplest terms, Internet web pages are just documents of text, pictures, sounds, video, and hyperlinks—much like the CD-ROM multimedia titles that were popular in the mid 1990s. -
Configuration Fuzzing Testing Framework for Software Vulnerability Detection
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Columbia University Academic Commons CONFU: Configuration Fuzzing Testing Framework for Software Vulnerability Detection Huning Dai, Christian Murphy, Gail Kaiser Department of Computer Science Columbia University New York, NY 10027 USA ABSTRACT Many software security vulnerabilities only reveal themselves under certain conditions, i.e., particular configurations and inputs together with a certain runtime environment. One approach to detecting these vulnerabilities is fuzz testing. However, typical fuzz testing makes no guarantees regarding the syntactic and semantic validity of the input, or of how much of the input space will be explored. To address these problems, we present a new testing methodology called Configuration Fuzzing. Configuration Fuzzing is a technique whereby the configuration of the running application is mutated at certain execution points, in order to check for vulnerabilities that only arise in certain conditions. As the application runs in the deployment environment, this testing technique continuously fuzzes the configuration and checks "security invariants'' that, if violated, indicate a vulnerability. We discuss the approach and introduce a prototype framework called ConFu (CONfiguration FUzzing testing framework) for implementation. We also present the results of case studies that demonstrate the approach's feasibility and evaluate its performance. Keywords: Vulnerability; Configuration Fuzzing; Fuzz testing; In Vivo testing; Security invariants INTRODUCTION As the Internet has grown in popularity, security testing is undoubtedly becoming a crucial part of the development process for commercial software, especially for server applications. However, it is impossible in terms of time and cost to test all configurations or to simulate all system environments before releasing the software into the field, not to mention the fact that software distributors may later add more configuration options. -
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. -
Software Testing Training Module
MAST MARKET ALIGNED SKILLS TRAINING SOFTWARE TESTING TRAINING MODULE In partnership with Supported by: INDIA: 1003-1005,DLF City Court, MG Road, Gurgaon 122002 Tel (91) 124 4551850 Fax (91) 124 4551888 NEW YORK: 216 E.45th Street, 7th Floor, New York, NY 10017 www.aif.org SOFTWARE TESTING TRAINING MODULE About the American India Foundation The American India Foundation is committed to catalyzing social and economic change in India, andbuilding a lasting bridge between the United States and India through high impact interventions ineducation, livelihoods, public health, and leadership development. Working closely with localcommunities, AIF partners with NGOs to develop and test innovative solutions and withgovernments to create and scale sustainable impact. Founded in 2001 at the initiative of PresidentBill Clinton following a suggestion from Indian Prime Minister Vajpayee, AIF has impacted the lives of 4.6million of India’s poor. Learn more at www.AIF.org About the Market Aligned Skills Training (MAST) program Market Aligned Skills Training (MAST) provides unemployed young people with a comprehensive skillstraining that equips them with the knowledge and skills needed to secure employment and succeed on thejob. MAST not only meets the growing demands of the diversifying local industries across the country, itharnesses India's youth population to become powerful engines of the economy. AIF Team: Hanumant Rawat, Aamir Aijaz & Rowena Kay Mascarenhas American India Foundation 10th Floor, DLF City Court, MG Road, Near Sikanderpur Metro Station, Gurgaon 122002 216 E. 45th Street, 7th Floor New York, NY 10017 530 Lytton Avenue, Palo Alto, CA 9430 This document is created for the use of underprivileged youth under American India Foundation’s Market Aligned Skills Training (MAST) Program. -
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. -
The Dangers of Use Cases Employed As Test Cases Bernie Berger
The Dangers of Use Cases Employed as Test Cases Bernie Berger This document is intended to provide background support and additional information to the slide presentation at STARWest 2001. I don’t consider this a complete paper without the associated MS PowerPoint slides and presentation. Use cases can often help jump-start a testing effort, but there are serious side effects when testers use (only) usecases as a testing guide. What are Use Cases? Use cases are a relatively new method of documenting a software program’s actions. It’s a style of functional requirement document – an organized list of scenarios that a user or system might perform while navigating through an application. According to the Rational Unified Process, “A use case defines a set of use-case instances, where each instance is a sequence of actions a system performs that yields an observable result of value to a particular actor”. What’s so good about Use Cases? Use Cases have gained popularity over the last few years as a method of organizing and documenting a software system’s functions from the user perspective. They support an iterative development lifecycle, and are part of the Rational Unified Process. (For more information about use cases, please see www.rational.com/rup) What are some of their problems? There are problems inherent in any documentation method (including traditional functional requirements documents), and use cases are no different. Some general problems to be aware of include: · They might be incomplete · Each case not describing enough detail of use · Not enough of them, missing entire areas of functionality · They might be inaccurate · They might not have been reviewed · They might not updated when requirements changed · They might be ambiguous What are some problems with using use cases to test software? In addition to the generic problems listed above, there are specific challenges when testers use use-cases to test. -
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. -
Waters Software Development Life Cycle (EMPOWER PRODUCTS)
Waters Software Development Life Cycle (EMPOWER PRODUCTS) Project Start Document Feature Study Complete Project Market Definition Req. Design Docs. Review Test P Plan Code r Func. Dev. Design Design o Review j Spec. Plan Docs. e Test c Cases Task t Comp. Review Implementation Feature Freeze M Func. i l Freeze Internal e s Acc. Evaluation t Tests o Functional n Freeze e Full s Test Full suite Evaluation Code Freeze Regr. Final Tests Evaluation & (Verify) Verify Final Freeze Field Personnel Project End Users Phases What is Waters Testing Strategy for Empower? Waters Corporation testing process is documented in a number of policies, procedures, and work instructions. The following is a summary. A test plan is generated as part of the SDLC process. The software test strategy encompasses both manual and automated testing which is detailed in the test plan. Testing covers both new functionality as well as manual and automated regression testing. Automated regression testing focuses on complex functionality in areas deemed critical (e.g. Instrument Control, Data Acquisition and Processing, etc.). Manual regression testing focuses on Conversion Testing, Recovery Testing, Performance Testing, Interface Testing, Security Testing, System Testing and testing of System Messages, etc. Manual testing is performed utilizing a combination of Unit, Integration and System level tests. Unit tests focus on an individual aspect of a software feature with the intention of verifying the functionality of each sub-component while integration and system tests focus on the performance of the software in user scenarios. Each required element defined in the Functional Specification shall have a minimum of one corresponding Unit test case.