Show simple item record

dc.contributor.authorOlatunji, Michael A.
dc.contributor.authorOladele, Rufus O.
dc.contributor.authorBajeh, Amos O.
dc.date.accessioned2017-08-22T09:53:06Z
dc.date.available2017-08-22T09:53:06Z
dc.date.issued2017-01
dc.identifier.issn1818-5878
dc.identifier.urihttp://hdl.handle.net/20.500.11948/2094
dc.description.abstractAbstract: This paper aims at investigating the validity of Lehman's Law of Increasing Complexity. Two metrics namely cyclomatic complexity and interface complexity were defined to capture increasing complexity. The goal was to verify if these metrics can be used to validate Lehman’s law of increasing complexity. Empirical analysis was performed using historical data collected on four evolving Open Source Systems (OSS). Results show that the considered Lehman’s law is partially supported by the collected data and the metrics. In particular, empirical results reveal that: total cyclomatic complexity and total interface complexity are increasing from version to version; average cyclomatic complexity and average interface complexity either declines or increases within a very short range; and function interface complexity hardly decline in evolving OSS. Also, addition of low complex functions reduces cyclomatic complexity in evolving OSS but does little in reducing function interface complexity.en_US
dc.language.isoenen_US
dc.publisherDaffodil International Universityen_US
dc.titleEmpirical Study of Cyclomatic Complexity and Interface Complexity of Evolving Open Source Systemsen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record