Artificial intelligence methods in software testing /:
An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applicat...
Gespeichert in:
Weitere Verfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore ; River Edge, NJ :
World Scientific,
©2004.
|
Schriftenreihe: | Series in machine perception and artificial intelligence ;
v. 56. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents: Fuzzy Cause-Effect Models of Software Testing (W Pedrycz & G Vukovich); Black-Box Testing with Info-Fuzzy Netw. |
Beschreibung: | 1 online resource (xi, 208 pages) : illustrations |
Bibliographie: | Includes bibliographical references. |
ISBN: | 9789812794758 9812794751 9789812388544 9812388540 |
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505 | 0 | |a Ch. 1. Fuzzy cause-effect models of software testing / Witold Pedrycz and George Vukovich -- ch. 2. Black-box testing with info-fuzzy networks / Mark Last and Menahem Friedman -- ch. 3. Automated GUI regression testing using AI planning / Atif M. Memon -- ch. 4. Test set generation and reduction with artificial neural networks / Prachi Saraph, Abraham Kandel, and Mark Last -- ch. 5. Three-group software quality classification modeling using an automated reasoning approach / Taghi M. Khoshgoftaar and Naeem Seliya -- ch. 6. Data mining with resampling in software metrics databases / Scott Dick and Abraham Kandel. | |
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650 | 6 | |a Logiciels |x Essais. | |
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contents | Ch. 1. Fuzzy cause-effect models of software testing / Witold Pedrycz and George Vukovich -- ch. 2. Black-box testing with info-fuzzy networks / Mark Last and Menahem Friedman -- ch. 3. Automated GUI regression testing using AI planning / Atif M. Memon -- ch. 4. Test set generation and reduction with artificial neural networks / Prachi Saraph, Abraham Kandel, and Mark Last -- ch. 5. Three-group software quality classification modeling using an automated reasoning approach / Taghi M. Khoshgoftaar and Naeem Seliya -- ch. 6. Data mining with resampling in software metrics databases / Scott Dick and Abraham Kandel. |
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illustrated | Illustrated |
indexdate | 2024-11-27T13:16:33Z |
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publishDate | 2004 |
publishDateSearch | 2004 |
publishDateSort | 2004 |
publisher | World Scientific, |
record_format | marc |
series | Series in machine perception and artificial intelligence ; |
series2 | Series in machine perception and artificial intelligence ; |
spelling | Artificial intelligence methods in software testing / editors, Mark Last, Abraham Kandel, Horst Bunke. Singapore ; River Edge, NJ : World Scientific, ©2004. 1 online resource (xi, 208 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Series in machine perception and artificial intelligence ; v. 56 Includes bibliographical references. Print version record. An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents: Fuzzy Cause-Effect Models of Software Testing (W Pedrycz & G Vukovich); Black-Box Testing with Info-Fuzzy Netw. Ch. 1. Fuzzy cause-effect models of software testing / Witold Pedrycz and George Vukovich -- ch. 2. Black-box testing with info-fuzzy networks / Mark Last and Menahem Friedman -- ch. 3. Automated GUI regression testing using AI planning / Atif M. Memon -- ch. 4. Test set generation and reduction with artificial neural networks / Prachi Saraph, Abraham Kandel, and Mark Last -- ch. 5. Three-group software quality classification modeling using an automated reasoning approach / Taghi M. Khoshgoftaar and Naeem Seliya -- ch. 6. Data mining with resampling in software metrics databases / Scott Dick and Abraham Kandel. Computer software Testing. Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Computer software Quality control. http://id.loc.gov/authorities/subjects/sh97003403 Computer programs Testing. http://id.loc.gov/authorities/subjects/sh85029526 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Logiciels Essais. Intelligence artificielle. Logiciels Qualité Contrôle. artificial intelligence. aat COMPUTERS Software Development & Engineering Quality Assurance & Testing. bisacsh Artificial intelligence fast Computer software Quality control fast Computer software Testing fast Last, Mark. https://id.oclc.org/worldcat/entity/E39PCjrxqwdmDH8QMyQD4XfFGb http://id.loc.gov/authorities/names/nb2001002378 Kandel, Abraham. https://id.oclc.org/worldcat/entity/E39PCjxCpFYvtQmyw9BT3fjBKb http://id.loc.gov/authorities/names/n79067239 Bunke, Horst, 1949- https://id.oclc.org/worldcat/entity/E39PCjtrWx4cfxRY4xpKqhfxwC has work: Artificial intelligence methods in software testing (Text) https://id.oclc.org/worldcat/entity/E39PCH8kQTjQ9f63qwxm7qXV3P https://id.oclc.org/worldcat/ontology/hasWork Print version: Artificial intelligence methods in software testing. Singapore ; River Edge, NJ : World Scientific, ©2004 9812388540 9789812388544 (DLC) 2006278039 (OCoLC)56594965 Series in machine perception and artificial intelligence ; v. 56. http://id.loc.gov/authorities/names/n91107585 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235575 Volltext |
spellingShingle | Artificial intelligence methods in software testing / Series in machine perception and artificial intelligence ; Ch. 1. Fuzzy cause-effect models of software testing / Witold Pedrycz and George Vukovich -- ch. 2. Black-box testing with info-fuzzy networks / Mark Last and Menahem Friedman -- ch. 3. Automated GUI regression testing using AI planning / Atif M. Memon -- ch. 4. Test set generation and reduction with artificial neural networks / Prachi Saraph, Abraham Kandel, and Mark Last -- ch. 5. Three-group software quality classification modeling using an automated reasoning approach / Taghi M. Khoshgoftaar and Naeem Seliya -- ch. 6. Data mining with resampling in software metrics databases / Scott Dick and Abraham Kandel. Computer software Testing. Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Computer software Quality control. http://id.loc.gov/authorities/subjects/sh97003403 Computer programs Testing. http://id.loc.gov/authorities/subjects/sh85029526 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Logiciels Essais. Intelligence artificielle. Logiciels Qualité Contrôle. artificial intelligence. aat COMPUTERS Software Development & Engineering Quality Assurance & Testing. bisacsh Artificial intelligence fast Computer software Quality control fast Computer software Testing fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85008180 http://id.loc.gov/authorities/subjects/sh97003403 http://id.loc.gov/authorities/subjects/sh85029526 https://id.nlm.nih.gov/mesh/D001185 |
title | Artificial intelligence methods in software testing / |
title_auth | Artificial intelligence methods in software testing / |
title_exact_search | Artificial intelligence methods in software testing / |
title_full | Artificial intelligence methods in software testing / editors, Mark Last, Abraham Kandel, Horst Bunke. |
title_fullStr | Artificial intelligence methods in software testing / editors, Mark Last, Abraham Kandel, Horst Bunke. |
title_full_unstemmed | Artificial intelligence methods in software testing / editors, Mark Last, Abraham Kandel, Horst Bunke. |
title_short | Artificial intelligence methods in software testing / |
title_sort | artificial intelligence methods in software testing |
topic | Computer software Testing. Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Computer software Quality control. http://id.loc.gov/authorities/subjects/sh97003403 Computer programs Testing. http://id.loc.gov/authorities/subjects/sh85029526 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Logiciels Essais. Intelligence artificielle. Logiciels Qualité Contrôle. artificial intelligence. aat COMPUTERS Software Development & Engineering Quality Assurance & Testing. bisacsh Artificial intelligence fast Computer software Quality control fast Computer software Testing fast |
topic_facet | Computer software Testing. Artificial intelligence. Computer software Quality control. Computer programs Testing. Artificial Intelligence Logiciels Essais. Intelligence artificielle. Logiciels Qualité Contrôle. artificial intelligence. COMPUTERS Software Development & Engineering Quality Assurance & Testing. Artificial intelligence Computer software Quality control Computer software Testing |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235575 |
work_keys_str_mv | AT lastmark artificialintelligencemethodsinsoftwaretesting AT kandelabraham artificialintelligencemethodsinsoftwaretesting AT bunkehorst artificialintelligencemethodsinsoftwaretesting |