Study and Analysis of Different Testing Techniques for Web Application
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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. -
Human Performance Regression Testing
Human Performance Regression Testing Amanda Swearngin, Myra B. Cohen Bonnie E. John, Rachel K. E. Bellamy Dept. of Computer Science & Eng. IBM T. J. Watson Research Center University of Nebraska-Lincoln, USA P.O. Box 704 Lincoln, NE 68588-0115 Yorktown Heights, NY 10598, USA faswearn,[email protected] fbejohn,[email protected] Abstract—As software systems evolve, new interface features common tasks, necessitating longer mouse movements and, in such as keyboard shortcuts and toolbars are introduced. While fact, decrease efficiency. In addition, many toolbars with small it is common to regression test the new features for functional icons may add screen clutter and may decrease a new user’s correctness, there has been less focus on systematic regression testing for usability, due to the effort and time involved in human ability to discover how to accomplish a task over a simpler studies. Cognitive modeling tools such as CogTool provide some UI design. help by computing predictions of user performance, but they still Usability testing has traditionally been empirical, bringing require manual effort to describe the user interface and tasks, end-users in to a testing facility, asking them to perform tasks limiting regression testing efforts. In recent work, we developed on the system (or prototype), and measuring such things as the CogTool-Helper to reduce the effort required to generate human performance models of existing systems. We build on this work time taken to perform the task, the percentage of end-users by providing task specific test case generation and present our who can complete the task in a fixed amount of time, and vision for human performance regression testing (HPRT) that the number and type of errors made by the end-users. -
Automated Web Application Testing Using Search Based Software Engineering
Automated Web Application Testing Using Search Based Software Engineering Nadia Alshahwan and Mark Harman CREST Centre University College London London, UK fnadia.alshahwan.10,[email protected] Abstract—This paper introduces three related algorithms and [21]. However, of 399 research papers on SBST,1 only one a tool, SWAT, for automated web application testing using Search [20] mentions web application testing issues and none applies Based Software Testing (SBST). The algorithms significantly search based test data generation to automate web application enhance the efficiency and effectiveness of traditional search based techniques exploiting both static and dynamic analysis. The testing. combined approach yields a 54% increase in branch coverage and Popular web development languages such as PHP and a 30% reduction in test effort. Each improvement is separately Python have characteristics that pose a challenge when ap- evaluated in an empirical study on 6 real world web applications. plying search based techniques such as dynamic typing and identifying the input vector. Moreover, the unique and rich Index Terms—SBSE; Automated Test data generation; Web nature of a web application’s output can be exploited to aid applications the test generation process and potentially improve effective- ness and efficiency. This was the motivation for our work: We seek to develop a search based approach to automated I. INTRODUCTION web application testing that overcomes challenges and takes advantage of opportunities that web applications offer. The importance of automated web application testing de- rives from the increasing reliance on these systems for busi- In this paper we introduce an automated search based ness, social, organizational and governmental functions. -
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. -
Comparison of GUI Testing Tools for Android Applications
Comparison of GUI testing tools for Android applications University of Oulu Department of Information Processing Science Master’s Thesis Tomi Lämsä Date 22.5.2017 2 Abstract Test automation is an intriguing area of software engineering, especially in Android development. This is since Android applications must be able to run in many different permutations of operating system versions and hardware choices. Comparison of different tools for automated UI testing of Android applications is done in this thesis. In a literature review several different tools available and their popularity is researched and the structure of the most popular tools is looked at. The two tools identified to be the most popular are Appium and Espresso. In an empirical study the two tools along with Robotium, UiAutomator and Tau are compared against each other in test execution speed, maintainability of the test code, reliability of the test tools and in general issues. An empirical study was carried out by selecting three Android applications for which an identical suite of tests was developed with each tool. The test suites were then run and the execution speed and reliability was analysed based on these results. The test code written is also analysed for maintainability by calculating the lines of code and the number of method calls needed to handle asynchrony related to UI updates. The issues faced by the test developer with the different tools are also analysed. This thesis aims to help industry users of these kinds of applications in two ways. First, it could be used as a source on what tools are over all available for UI testing of Android applications. -
Web Gui Testing Checklist
Web Gui Testing Checklist Wes recrystallizing her quinone congruously, phytophagous and sulphonic. How imponderable is Schroeder when barbate whileand soft-footed Brewer gliff Zachery some incisure yakety-yak affluently. some chatoyancy? Fulgurating and battiest Nealson blossoms her amontillados refine Wbox aims to the field to be able to the automated support data, testing web gui checklist Planned testing techniques, including scripted testing, exploratory testing, and user experience testing. This gui content will the css or dynamic values? Test all input fields for special characters. For instance, create test data assist the maximum and minimum values in those data field. Assisted by timing testing is not tested to the order to achieve true black art relying on gui testing web checklist will best. The web hosting environments you start all web testing gui checklist can provide tests has had made. The gui testing procedures are the weak factors causing delays in agile here offering, gui testing web? At anytime without giving us a testing web gui checklist can also has on. How gui testing checklist for a gui testing web checklist to induce further eliminating redundant if there is transmitted without the below to use of jobs with. Monkey testing tool that an application or even perform testing web gui changes some test android scripts behind successful only allows an. Discusses the preceding css or if a sql injections through an application penetration testing on gui testing web? How much regression testing is enough? Fully automated attack simulations and highly automated fuzzing tests are appropriate here, and testers might also use domain testing to pursue intuitions. -
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. -
A Systematic Review on Regression Testing for Web-Based Applications
Journal of Software A Systematic Review on Regression Testing for Web-Based Applications Anis Zarrad* Department of Computer Science and Information Systems, Prince Sultan University, Riyadh, Saudi Arabia. * Corresponding author. Tel.: +966114948531; email: [email protected] Manuscript submitted December 12, 2014; accepted April 16, 2015. doi: 10.17706/jsw.10.8.971-990 Abstract: Web-based applications and their underlying parts are growing rapidly to offer services over the internet around the world. Web applications play critical roles in various areas such as community development, business, academic, sciences etc. Therefore their correctness and reliability become important factors with each succeeding release. Regression testing is an important means to ensure such factors for every new released version. Regression testing is a verification process to discover the impact of changes in other interconnected modules. With the goal of selecting an appropriate regression testing approach to respond adequately to any changes in Web applications, we conduct a complete systematic study of regression testing techniques in Web applications. Out of 64, we identified a total of 22 papers reporting experiments and case studies. We present a qualitative analysis for used tools, an overview of test case section techniques and empirical study evaluation for every selected work. No approaches were found clearly superior to other since results depend on many varying factors and the deployment environments. We identified the need of evidences where approaches are evaluated cost effective rather than technical description. Key words: Regressing testing, web-based application testing, empirical study, test set, software testing. 1. Introduction In today’s scenario, as the world became global and with the advent of internet technologies, Web-based applications become more effective manner for enterprises, and academic entities to produce business strategies and policies. -
Michael Bolton in NZ Pinheads, from the Testtoolbox, Kiwi Test Teams & More!
NZTester The Quarterly Magazine for the New Zealand Software Testing Community and Supporters ISSUE 4 JUL - SEP 2013 FREE In this issue: Interview with Bryce Day of Catch Testing at ikeGPS Five Behaviours of a Highly Effective Time Lord Tester On the Road Again Hiring Testers Michael Bolton in NZ Pinheads, From the TestToolbox, Kiwi Test Teams & more! NZTester Magazine Editor: Geoff Horne [email protected] [email protected] ph. 021 634 900 P O Box 48-018 Blockhouse Bay Auckland 0600 New Zealand www.nztester.co.nz Advertising Enquiries: [email protected] Disclaimer: Articles and advertisements contained in NZTester Magazine are published in good faith and although provided by people who are experts in their fields, NZTester make no guarantees or representations of any kind concerning the accuracy or suitability of the information contained within or the suitability of products and services advertised for any and all specific applications and uses. All such information is provided “as is” and with specific disclaimer of any warranties of merchantability, fitness for purpose, title and/or non-infringement. The opinions and writings of all authors and contributors to NZTester are merely an expression of the author’s own thoughts, knowledge or information that they have gathered for publication. NZTester does not endorse such authors, necessarily agree with opinions and views expressed nor represents that writings are accurate or suitable for any purpose whatsoever. As a reader of this magazine you disclaim and hold NZTester, its employees and agents and Geoff Horne, its owner, editor and publisher, harmless of all content contained in this magazine as to its warranty of merchantability, fitness for purpose, title and/or non-infringement. -
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. -
Exploring Languages with Interpreters and Functional Programming Chapter 11
Exploring Languages with Interpreters and Functional Programming Chapter 11 H. Conrad Cunningham 24 January 2019 Contents 11 Software Testing Concepts 2 11.1 Chapter Introduction . .2 11.2 Software Requirements Specification . .2 11.3 What is Software Testing? . .3 11.4 Goals of Testing . .3 11.5 Dimensions of Testing . .3 11.5.1 Testing levels . .4 11.5.2 Testing methods . .6 11.5.2.1 Black-box testing . .6 11.5.2.2 White-box testing . .8 11.5.2.3 Gray-box testing . .9 11.5.2.4 Ad hoc testing . .9 11.5.3 Testing types . .9 11.5.4 Combining levels, methods, and types . 10 11.6 Aside: Test-Driven Development . 10 11.7 Principles for Test Automation . 12 11.8 What Next? . 15 11.9 Exercises . 15 11.10Acknowledgements . 15 11.11References . 16 11.12Terms and Concepts . 17 Copyright (C) 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 1 (662) 915-5358 Browser Advisory: The HTML version of this textbook requires a browser that supports the display of MathML. A good choice as of October 2018 is a recent version of Firefox from Mozilla. 2 11 Software Testing Concepts 11.1 Chapter Introduction The goal of this chapter is to survey the important concepts, terminology, and techniques of software testing in general. The next chapter illustrates these techniques by manually constructing test scripts for Haskell functions and modules. 11.2 Software Requirements Specification The purpose of a software development project is to meet particular needs and expectations of the project’s stakeholders.