Applying Halstead Software Science on Different Programming Languages for Analyzing Software Complexity

Govil, Nikhil

doi:10.1109/icoei48184.2020.9142911

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Different software development organizations use different metrics to measure and maintain the quality of software code. In [16,17], the authors Fig. 3.…”

Section: Releated Workmentioning

confidence: 99%

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Development of a hybrid method for calculation of software complexity

Kazimov

Bayramova²

2022

SRIT

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The use of code metrics allows software developers and project managers to evaluate various features of the software (to be built or already in existence), predict workload, determine software complexity and reliability, and quantify the quality of software systems being developed. Articles written in recent years have proposed various methods for solving this problem. However, there is still no very effective approach to measuring software complexity. This article provides a brief overview of existing software complexity metrics and proposes a new hybrid method for computing software complexity. The proposed hybrid method for evaluating software complexity combines the key features of the Halsted, Maccabe, and SLOC metrics and also allows for a more efficient assessment of complexity.

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“…Different software development organizations use different metrics to measure and maintain the quality of software code. In [16,17], the authors Fig. 3.…”

Section: Releated Workmentioning

confidence: 99%

“…M.H. Halsted was the first researcher to write a mathematical formulation of software metrics [30]. Table 1 shows the main Halsted metrics.…”

Section: Number Of Lines Of Code (Loc)mentioning

confidence: 99%