Effective Implementation Techniques for Performance Testing
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Smoke Testing
International Journal of Scientific and Research Publications, Volume 4, Issue 2, February 2014 1 ISSN 2250-3153 Smoke Testing Vinod Kumar Chauhan Quality Assurance (QA), Impetus InfoTech Pvt. Ltd. (India) Abstract- Smoke testing is an end-to-end testing which determine the stability of new build by checking the crucial functionality of the application under test and used as criteria of accepting the new build for detailed testing. Index Terms- Software testing, acceptance testing, agile, build, regression testing, sanity testing I. INTRODUCTION The purpose of this research paper is to give details of smoke testing from the industry practices. II. SMOKE TESTING The purpose of smoke testing is to determine whether the new software build is stable or not so that the build could be used for detailed testing by the QA team and further work by the development team. If the build is stable i.e. the smoke test passes then build could be used by the QA and development team. On the stable build QA team performs functional testing for the newly added features/functionality and then performs regression testing depending upon the situation. But if the build is not stable i.e. the smoke fails then the build is rejected to the development team to fix the build issues and create a new build. Smoke Testing is generally done by the QA team but in certain situations, can be done by the development team. In that case the development team checks the stability of the build and deploy to QA only if the build is stable. In other case, whenever there is new build deployment to the QA environment then the team first performs the smoke test on the build and depending upon the results of smoke the decision to accept or reject the build is taken. -
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. -
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. -
Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK
1 From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK Abstract—This paper1 describes some of the challenges and research questions that target the most productive intersection opportunities when deploying static and dynamic analysis at we have yet witnessed: that between exciting, intellectually scale, drawing on the authors’ experience with the Infer and challenging science, and real-world deployment impact. Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, Many industrialists have perhaps tended to regard it unlikely impacting billions of people worldwide. that much academic work will prove relevant to their most The paper identifies open problems that have yet to receive pressing industrial concerns. On the other hand, it is not significant attention from the scientific community, yet which uncommon for academic and scientific researchers to believe have potential for profound real world impact, formulating these that most of the problems faced by industrialists are either as research questions that, we believe, are ripe for exploration and that would make excellent topics for research projects. boring, tedious or scientifically uninteresting. This sociological phenomenon has led to a great deal of miscommunication between the academic and industrial sectors. I. INTRODUCTION We hope that we can make a small contribution by focusing on the intersection of challenging and interesting scientific How do we transition research on static and dynamic problems with pressing industrial deployment needs. Our aim analysis techniques from the testing and verification research is to move the debate beyond relatively unhelpful observations communities to industrial practice? Many have asked this we have typically encountered in, for example, conference question, and others related to it. -
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. -
1. Can You Explain the PDCA Cycle and Where Testing Fits In?
1. Can you explain the PDCA cycle and where testing fits in? Software testing is an important part of the software development process. In normal software development there are four important steps, also referred to, in short, as the PDCA (Plan, Do, Check, Act) cycle. Let's review the four steps in detail. 1. Plan: Define the goal and the plan for achieving that goal. 2. Do/Execute: Depending on the plan strategy decided during the plan stage we do execution accordingly in this phase. 3. Check: Check/Test to ensure that we are moving according to plan and are getting the desired results. 4. Act: During the check cycle, if any issues are there, then we take appropriate action accordingly and revise our plan again. So developers and other stakeholders of the project do the "planning and building," while testers do the check part of the cycle. Therefore, software testing is done in check part of the PDCA cyle. 2. What is the difference between white box, black box, and gray box testing? Black box testing is a testing strategy based solely on requirements and specifications. Black box testing requires no knowledge of internal paths, structures, or implementation of the software being tested. White box testing is a testing strategy based on internal paths, code structures, and implementation of the software being tested. White box testing generally requires detailed programming skills. There is one more type of testing called gray box testing. In this we look into the "box" being tested just long enough to understand how it has been implemented. -
Orthogonal Array Application for Optimized Software Testing
WSEAS TRANSACTIONS on COMPUTERS Ljubomir Lazic and Nikos Mastorakis Orthogonal Array application for optimal combination of software defect detection techniques choices LJUBOMIR LAZICa, NIKOS MASTORAKISb aTechnical Faculty, University of Novi Pazar Vuka Karadžića bb, 36300 Novi Pazar, SERBIA [email protected] http://www.np.ac.yu bMilitary Institutions of University Education, Hellenic Naval Academy Terma Hatzikyriakou, 18539, Piraeu, Greece [email protected] Abstract: - In this paper, we consider a problem that arises in black box testing: generating small test suites (i.e., sets of test cases) where the combinations that have to be covered are specified by input-output parameter relationships of a software system. That is, we only consider combinations of input parameters that affect an output parameter, and we do not assume that the input parameters have the same number of values. To solve this problem, we propose interaction testing, particularly an Orthogonal Array Testing Strategy (OATS) as a systematic, statistical way of testing pair-wise interactions. In software testing process (STP), it provides a natural mechanism for testing systems to be deployed on a variety of hardware and software configurations. The combinatorial approach to software testing uses models to generate a minimal number of test inputs so that selected combinations of input values are covered. The most common coverage criteria are two-way or pairwise coverage of value combinations, though for higher confidence three-way or higher coverage may be required. This paper presents some examples of software-system test requirements and corresponding models for applying the combinatorial approach to those test requirements. The method bridges contributions from mathematics, design of experiments, software test, and algorithms for application to usability testing. -
Cost Justifying Usability a Case-Study at Ericsson
Master thesis Computer science Thesis ID:MCS-2011-01 January 2011 Cost justifying usability a case-study at Ericsson Parisa Yousefi Pegah Yousefi School of Computing Blekinge Institute of Technology SE 371 39 Karlskrona Sweden 1 This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfilment of the requirements for the degree of Master of Science in Computer Sci- ence. The thesis is equivalent to 20 weeks of full time studies. Contact Information: Author(s): Parisa Yousefi Address: Näktergalsvagen 5, Rödeby, 371 30 E-mail: [email protected] Pegah Yousefi Address: Drottninggatan 36, Karlskrona, 371 37 E-mail: [email protected] External advisor(s): Helen Sjelvgren Ericsson Address: Ölandsgatan 6 Karlskrona, 371 23 Phone: +46 10 7158732 University advisor(s): Dr Kari Rönkkö, Ph.D Jeff Winter Licentiate School of Computing Internet : www.bth.se/com Blekinge Institute of Technology Phone : +46 455 38 50 00 SE – 371 39 Karlskrona Fax : +46 455 38 50 57 Sweden 2 Abstract Usability in Human-computer Interaction and user- centered design is indeed a key factor, in success of any software products. However, software industries, in particular the attitude of revenue management, express a need of a economic and academic case, for justification of usability discipline. In this study we investigate the level of usability and usability issues and the gaps concerning usability activities and the potential users, in a part of charging system products in Ericsson. Also we try identifying the cost-benefit factors, usability brings to this project, in order to attempt 'justifying the cost of usability for this particular product'. -
SSW 567 Software Testing, Quality, and Maintenance
School of Systems and Enterprises Stevens Institute of Technology Castle Point on Hudson Hoboken, NJ 07030 SSW 567 Software Testing, Quality, and Maintenance PURPOSE: This memorandum provides the Syllabus for SSW 567 TEXTS: • A Practitioner’s Guide to Software Test Design by Copeland - Artech House [PG] • Software Testing: A Craftsman’s Approach – Jorgensen [ST] • Software Measurement and Estimation by Laird – Wiley (optional) [SME] SOFTWARE: • Open Office/Microsoft Office • Possibly the ATM Simulation software system by Russell C. Bjork [ATM] • Freeware tools for Configuration Mgmt (e.g., Subversion), Test Mgmt (e.g., Testopia) and Defect Mgmt Tool (e.g., Bugzilla, Mantis) COURSE DESCRIPTION: This course is an in-depth study of software testing and quality throughout the development process. The successful student will learn to effectively analyze and test software systems using a variety of methods as well as to select the best-fit test case design methodologies to achieve best results. There is extensive hands-on project work in this course. Emphasis is placed on testing as technical investigation of a product undertaken to determine the system quality and on the clear communication of results, both of which are crucial to success as a tester. COURSE PREREQUISITES: Working knowledge of C, C++, or Java (or some other programming language). Extensive programming will not be required. COURSE OUTLINE SSW 567 School of Systems and Enterprises Stevens Institute of Technology Castle Point on Hudson Hoboken, NJ 07030 Readings in MODULE DESCRIPTION PROJECT Texts Definitions of Testing, QA, Install configuration Lecture 1: Getting [PG] ch. 1, 15, 16; faults, failures & their Costs; mgmt tools, write Started [ST] Ch 1 & 2 Fundamental Issues of testing initial program Lecture 2: SCM Concepts, Processes, [ST] Ch 3: This is Test initial program - Configuration and Tools Continuous background seeded bugs Management Integration. -
Getting to Continuous Testing
T2 Continuous Testing Thursday, October 3rd, 2019 9:45 AM Getting to Continuous Testing Presented by: Max Saperstone Coveros Brought to you by: 888---268---8770 ·· 904---278---0524 - [email protected] - http://www.starwest.techwell.com/ Max Saperstone Max Saperstone has been working as a software and test engineer for over a decade, with a focus on test automation within the CI/CD process. He specializes in open source tools, including the Selenium tool suite, JMeter, AutoIT, Cucumber, and Chef. Max has led several test automation efforts, including developing an automated suite focusing on web-based software to operate over several applications for Kronos Federal. He also headed a project with Delta Dental, developing an automated testing structure to run Cucumber tests over multiple test interfaces and environments, while also developing a system to keep test data "ageless." He currently heads up the development of Selenified, an open source testing framework to allow for testing of multiple interfaces, custom reporting, and minimal test upkeep. Getting to Continuous Testing A Greenfield Test Automation Story [email protected] maxsaperstone @Automate_Tests Max Saperstone @Automate_Tests 1 Max Saperstone @Automate_Tests Max Saperstone • Director of Testing and Automation at Coveros • Over a decade of test automation experience • Often Test Architect on consulting projects • Helped transform multiple organizations to test effectively within sprints • Mainly focuses on open source tools • Lover of the outdoors and cheap beer Max -
Flash Usability Report
Website Tools and Applications with Flash DESIGN GUIDELINES BASED ON USER TESTING OF 46 FLASH TOOLS By Hoa Loranger, Amy Schade, and Jakob Nielsen Additional research by: Rolf Molich Kara Pernice 48105 WARM SPRINGS BLVD. FREMONT, CA 94539-7498 USA WWW.NNGROUP.COM Copyright © Nielsen Norman Group, All Rights Reserved. To get your own copy, download from: http://www.nngroup.com/reports/website-tools-and-applications-flash/ About This Free Report This report is a gift for our loyal audience of UX enthusiasts. Thank you for your support over the years. We hope this information will aid your efforts to improve user experiences for everyone. The research for this report was done in 2013, but the majority of the advice may still be applicable today, because people and principles of good design change much more slowly than computer technology does. We sometimes make older report editions available to our audience at no cost, because they still provide interesting insights. Even though these reports discuss older designs, it’s still worth remembering the lessons from mistakes made in the past. If you don’t remember history, you’ll be doomed to repeat it. We regularly publish new research reports that span a variety of web and UX related topics. These reports include thousands of actionable, illustrated user experience guidelines for creating and improving your web, mobile, and intranet sites. We sell our new reports to fund independent, unbiased usability research; we do not have investors, government funding or research grants that pay for this work. Visit our reports page at https://www.nngroup.com/reports/ to see a complete list of these reports.