Comparison of software complexity metrics in measuring the complexity of event sequences

One of the main challenges in software development is the complex structure of a system. The software development for event sequences is complex. It is a challenge to define a complexity metric for event sequences application. Lack of knowledge in complexity metric can lead to issues such as rises i...

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Main Authors: Ahmad, Johanna, Baharom, Salmi
格式: Book Section
语言:English
出版: Springer 2017
在线阅读:http://psasir.upm.edu.my/id/eprint/63060/1/Comparison%20of%20software%20complexity%20metrics%20in%20measuring%20the%20complexity%20of%20event%20sequences.pdf
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author Ahmad, Johanna
Baharom, Salmi
author_facet Ahmad, Johanna
Baharom, Salmi
author_sort Ahmad, Johanna
collection UPM
description One of the main challenges in software development is the complex structure of a system. The software development for event sequences is complex. It is a challenge to define a complexity metric for event sequences application. Lack of knowledge in complexity metric can lead to issues such as rises in software cost and delays in project timing. Numerous complexity metrics have been proposed and published, such as information flow complexity, lines of code, function points, and unique complexity metric. However, in the context of the event sequences, most of the research focuses on measuring web graphs, measuring the web traffic and how the complexity of the web impacts the customer. In this paper, the researchers studied and compared five different software complexity metrics. This paper describes the on-going research that addresses the issue to produce a unique weight to prioritise event sequences test cases.
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spelling upm.eprints-630602020-02-28T07:28:18Z http://psasir.upm.edu.my/id/eprint/63060/ Comparison of software complexity metrics in measuring the complexity of event sequences Ahmad, Johanna Baharom, Salmi One of the main challenges in software development is the complex structure of a system. The software development for event sequences is complex. It is a challenge to define a complexity metric for event sequences application. Lack of knowledge in complexity metric can lead to issues such as rises in software cost and delays in project timing. Numerous complexity metrics have been proposed and published, such as information flow complexity, lines of code, function points, and unique complexity metric. However, in the context of the event sequences, most of the research focuses on measuring web graphs, measuring the web traffic and how the complexity of the web impacts the customer. In this paper, the researchers studied and compared five different software complexity metrics. This paper describes the on-going research that addresses the issue to produce a unique weight to prioritise event sequences test cases. Springer 2017 Book Section PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63060/1/Comparison%20of%20software%20complexity%20metrics%20in%20measuring%20the%20complexity%20of%20event%20sequences.pdf Ahmad, Johanna and Baharom, Salmi (2017) Comparison of software complexity metrics in measuring the complexity of event sequences. In: Lecture Notes in Electrical Engineering (LNEE). Springer, Singapore, 615 - 624. ISBN 9789811041532 http://www.prims.upm.edu.my/ , http://www.prims.upm.edu.my/pub/dokumen/pub_book_chapter/20171213172405lnee.pdf , http://www.prims.upm.edu.my/
spellingShingle Ahmad, Johanna
Baharom, Salmi
Comparison of software complexity metrics in measuring the complexity of event sequences
title Comparison of software complexity metrics in measuring the complexity of event sequences
title_full Comparison of software complexity metrics in measuring the complexity of event sequences
title_fullStr Comparison of software complexity metrics in measuring the complexity of event sequences
title_full_unstemmed Comparison of software complexity metrics in measuring the complexity of event sequences
title_short Comparison of software complexity metrics in measuring the complexity of event sequences
title_sort comparison of software complexity metrics in measuring the complexity of event sequences
url http://psasir.upm.edu.my/id/eprint/63060/1/Comparison%20of%20software%20complexity%20metrics%20in%20measuring%20the%20complexity%20of%20event%20sequences.pdf
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