Software testing tools: A new classification scheme

Graham, Dorothy R.

doi:10.1002/stvr.4370010304

Cited by 13 publications

(3 citation statements)

References 8 publications

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“…Such an enormous commitment demands automation whenever possible. Some aspects of testing such as regression testing have been automated successfully in various Computer Aided Software Testing (CAST) tools (Graham, 1991). The tests are invariably derived manually and entered into a database; Graphical User Interfaces (GUI) may be tested by capturing mouse movements and clicks and replaying them later as a regression test.…”

Section: Discussionmentioning

confidence: 99%

Intelligent Flow Control under a Game Theoretic Framework

Chen

2001

Telecommunications Optimization: Heuristic and Adaptive Techniques

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Each of us is interested in optimization, and telecommunications. Via several meetings, conferences, chats, and other opportunities, we have discovered these joint interests and decided to put together this book.It certainly wasn't easy. What made it difficult is partly the reason for this book in the first place: things are moving fast! As researchers in both industry and academia, we are under constant pressure to keep up with new technologies and opportunities. Part of our day jobs involves developing good algorithms for a steady surge of new problems arising from industry. Another part of our day jobs involves finding realistic problems which might yield to some of the algorithms we have developed, which we particularly like, but which don't work on anything else. The remainder of our day jobs tends to involve lecturing (for two of us), project management (for all of us), and things like exam-setting and marking. Finally, for two of us, childcare takes up a substantial part of our night jobs. Naturally, the book was finished when we worked out how to stuff 46 hours into a single day, and keep that up for a few successive weeks.Seriously, though, telecommunicatons is growing and changing very quickly, and all of this involves the increasing availability of new real-world problems for optimization researchers to address. Telecommunications engineers tend to know all about the problems involved, but are often not aware of developments in computer science and artificial intelligence which might go a long way towards solving those problems. We therefore argue, at the beginning of Chapter 1, that there needs to be more collaboration between the communities, so that both sides can be equipped for the challenges ahead. Indeed, this book is the result of one such collaboration.We have oriented it slightly towards the telecommunications engineer who knows little about the computational techniques, rather than the other way around. This is mainly because it is much easier to describe the techniques than it is to describe the telecommunications issues; the latter is a much larger collection. However, individual chapters go into some detail, often at an introductory level, in describing particular kinds of problem. Also, we provide a brief introduction to the essence of the problems at the beginning of each part.Let us know what you think. In particular, if you are a telecommunications engineer, and have been inspired by a chapter or two in this book to try out some techniques that you otherwise wouldn't have, please get in touch: your story may make it into the next edition!

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Section: Discussionmentioning

confidence: 99%

Intelligent Flow Control under a Game Theoretic Framework

Chen

2001

Telecommunications Optimization: Heuristic and Adaptive Techniques

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“…Testing requires high resource utilization to conform to the end-user requirements. According to an estimate, half of the software cost is incurred by software testing actions to meet the high quality of software [1]. To make a system more reliable and maintainable numerous testing techniques are presented in the literature like unit testing, black-box testing, gray box testing, white box testing, penetration testing, stress testing, regression testing, integration testing, system testing, performance testing, Graphical User Interface (GUI) testing, security testing, and compatibility testing.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Test Case Minimization Technique Using Genetic Algorithm for Regression Testing

Sheikh¹,

Babar²,

Butt³

et al. 2023

Computers, Materials &Amp; Continua

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Regression testing is a widely used approach to confirm the correct functionality of the software in incremental development. The use of test cases makes it easier to test the ripple effect of changed requirements. Rigorous testing may help in meeting the quality criteria that is based on the conformance to the requirements as given by the intended stakeholders. However, a minimized and prioritized set of test cases may reduce the efforts and time required for testing while focusing on the timely delivery of the software application. In this research, a technique named TestReduce has been presented to get a minimal set of test cases based on high priority to ensure that the web application meets the required quality criteria. A new technique TestReduce is proposed with a blend of genetic algorithm to find an optimized and minimal set of test cases. The ultimate objective associated with this study is to provide a technique that may solve the minimization problem of regression test cases in the case of linked requirements. In this research, the 100-Dollar prioritization approach is used to define the priority of the new requirements.

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“…However, this situation makes it difficult for users to decide which test tool to use. There are several studies in the literature that automatic testing tools are examined and evaluated [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. Although these studies are very valuable in the field of automated software testing tools, they do not cover the testing aspects such as test levels, interfaces used, performance analysis, ease of use, code requirements.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study for Evaluating Automated Software Testing Tools

EROL¹,

Senan

2022

Bilişim Teknolojileri Dergisi

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Yazılımın kalitesi, yazılım test araçlarının etkin kullanımına bağlıdır. Yazılım geliştirme yaşam döngüsünde test sürecine ayrılan zaman ve önem artarken, hangi otomatik yazılım test aracının hangi yazılımda daha verimli olduğunu gösterecek yeterli kaynağın olmadığı görülmektedir. Bu makalenin amacı, bu kaynak açığını desteklemek için farklı test otomasyon araçlarını performans, maliyet, kullanılabilirlik vb. kategorilere göre karşılaştırarak incelemek ve değerlendirmektir. Bu amaçla en çok tercih edilen yazılım test otomasyon araçları farklı donanım özelliklerine sahip bilgisayarlarda ve farklı web sitelerinde denenerek analiz edilmiştir. Yazılım test araçlarının aynı koşullardaki çalışma koşulları da incelenerek karşılaştırılmıştır. Bu sayede incelenen test araçlarının yeteneklerini ve özelliklerini değerlendirmek için rehberlik etmeyi amaçlıyoruz. Bu çalışmanın web sitelerinin yazılım geliştirme sürecinde test maliyetlerini ve süresini azaltmak için faydalı bir rehber olacağına inanıyoruz.

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Software testing tools: A new classification scheme

Cited by 13 publications

References 8 publications

Intelligent Flow Control under a Game Theoretic Framework

Intelligent Flow Control under a Game Theoretic Framework

An Optimized Test Case Minimization Technique Using Genetic Algorithm for Regression Testing

A Comparative Study for Evaluating Automated Software Testing Tools

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