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Asian Journal of Information Technology

ISSN: Online 1993-5994
ISSN: Print 1682-3915
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Performance Calculation and Benchmarking using the ISBSG Dataset Release 12 Data Repository: Empirical Study

Shadi Mohammad Alkhatib, Hala Hani Abuawwad, Khaled Almakadmeh, Khalid Al-Sarayreh and Ahed J. Alkhatib
Page: 124-132 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

The International Software Benchmarking Standards Group (ISBSG) maintains a software development repository with 6,006 software projects. The definition of productivity is a single ratio of output to input and then combined with various cost factors leading to a single value. Of these values we have dataset makes it possible to calculate the productivity of projects, effort, size and quality. By contrast, the concept of performance is more comprehensive than productivity. This study explores a comparison between performance and productivity and how it can affect projects by several other factors that affect its using ISBSG dataset V.12. In this research, tree data analysis techniques were applied: data clustering, neural network. SPSS was used to conduct statistical analysis and data visualization.


How to cite this article:

Shadi Mohammad Alkhatib, Hala Hani Abuawwad, Khaled Almakadmeh, Khalid Al-Sarayreh and Ahed J. Alkhatib. Performance Calculation and Benchmarking using the ISBSG Dataset Release 12 Data Repository: Empirical Study.
DOI: https://doi.org/10.36478/ajit.2019.124.132
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2019.124.132