Computational Intelligence for Risk Analysis in Software Testing

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Software testing is a complex, demanding, and crucial task required in any software development project Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment to software testing management in software projects. There are a large number of processes involved in software testing. The interdependencies of the processes in software testing make this task a complex and difficult activity for software test managers. The complexity involved makes it difficult for software test managers to comprehend and by fully aware of effect of inefficiencies that may exist in software testing development of these processes in their organization. This paper considers the implementation of a Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in software testing to improve the understanding of software test manager about the software testing and its associated risks. By using a FCMs a test managers can regularly review and improve their software testing and provide greater improvement in development and monitoring in software testing. Software testing managers can perform what-if analysis to better understand vulnerabilities in their software testing management.
Original languageEnglish
Title of host publication2017 6th International Conference on Reliability, Infocom Technologies and Optimization
Subtitle of host publicationTrends and Future Directions, ICRITO 2017
EditorsBalvinder Shukla, Sunil Kumar Khatri, P K Kapur
Place of PublicationNoida, India
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages66-69
Number of pages4
Volume2018-January
ISBN (Electronic)9781509030125
ISBN (Print)9781509030132
DOIs
Publication statusPublished - 20 Sep 2017
Event6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017 - Noida, India
Duration: 20 Sep 201722 Sep 2017

Publication series

Name2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017
Volume2018-January

Conference

Conference6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017
CountryIndia
CityNoida
Period20/09/1722/09/17

Fingerprint

Software testing
Risk analysis
Artificial intelligence
Managers
Software engineering

Cite this

MOHAMMADIAN, M. (2017). Computational Intelligence for Risk Analysis in Software Testing. In B. Shukla, S. K. Khatri, & P. K. Kapur (Eds.), 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017 (Vol. 2018-January, pp. 66-69). (2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017; Vol. 2018-January). Noida, India : IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICRITO.2017.8342400
MOHAMMADIAN, Masoud. / Computational Intelligence for Risk Analysis in Software Testing. 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017. editor / Balvinder Shukla ; Sunil Kumar Khatri ; P K Kapur. Vol. 2018-January Noida, India : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 66-69 (2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017).
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MOHAMMADIAN, M 2017, Computational Intelligence for Risk Analysis in Software Testing. in B Shukla, SK Khatri & PK Kapur (eds), 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017. vol. 2018-January, 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017, vol. 2018-January, IEEE, Institute of Electrical and Electronics Engineers, Noida, India , pp. 66-69, 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017, Noida, India, 20/09/17. https://doi.org/10.1109/ICRITO.2017.8342400

Computational Intelligence for Risk Analysis in Software Testing. / MOHAMMADIAN, Masoud.

2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017. ed. / Balvinder Shukla; Sunil Kumar Khatri; P K Kapur. Vol. 2018-January Noida, India : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 66-69 (2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017; Vol. 2018-January).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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MOHAMMADIAN M. Computational Intelligence for Risk Analysis in Software Testing. In Shukla B, Khatri SK, Kapur PK, editors, 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017. Vol. 2018-January. Noida, India : IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 66-69. (2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017). https://doi.org/10.1109/ICRITO.2017.8342400