A survey on metric of software complexity

With the evolution of the software development, the scale of the software is increasingly growing to the extent that we cannot hand it easily. Some metrics are proposed to measure the complexity of software in last a few years. This article aims at a comprehensive survey of the metric of software co...

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Bibliographic Details
Published in2010 2nd IEEE International Conference on Information Management and Engineering pp. 352 - 356
Main Authors Sheng Yu, Shijie Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2010
Subjects
Application software
complexity measure
Computer science
Costs
Lab-on-a-chip
Programming profession
Project management
project managementt
software complexity
Software measurement
Software metrics
Stability
Usability
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ISBN9781424452637
1424452635
DOI10.1109/ICIME.2010.5477581

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Summary:With the evolution of the software development, the scale of the software is increasingly growing to the extent that we cannot hand it easily. Some metrics are proposed to measure the complexity of software in last a few years. This article aims at a comprehensive survey of the metric of software complexity. Some classic and efficient software complexity metrics, such as Lines of Codes (LOC), Halstead Complexity Metric (HCM) and Cyclomatic Complexity Metric (CCM), are discussed and analyzed first. Then, some other approaches driven from above classic metrics are also discussed. The comparison and the relationship of these metrics of software complexity are also presented.
ISBN:9781424452637
1424452635
DOI:10.1109/ICIME.2010.5477581