UPM Institutional Repository

Software maintainability assessment based on collaborative CMMI model


Al-Ahmad, Haneen and Atan, Rodziah and Abd Ghani, Abdul Azim and Azmi Murad, Masrah Azrifah (2014) Software maintainability assessment based on collaborative CMMI model. Infrastructure University Kuala Lumpur Research Journal, 2 (1). pp. 65-72. ISSN 2289-4144


Software constantly needs new features or bug fixes. Maintainable software is simple to extend and fix which encourages the software's uptake and use. The Software Sustainability Institute can advise you on the design and development of maintainable software that will benefit both you and your users. Therefore, capability maturity model integration (CMMI) is a process improvement approach that provides organisations with the essential elements of effective processes that ultimately improve their performance. The propose maintainability assessment of cmmi based on multi-agent system (MAS) to identify the processes measurement of SM. in order to verify our proposed CMMI framework based on MAS architecture, pilot study is conducted using a questionnaire survey. Rasch model is used to analyse the pilot data. Items reliability is found strong correlation between measured and the model designed. The results shows that the person raw score-to-measure correlation is 0.51 (approximate due to missing data) and Cronbach Alpha (kr-20) person raw score reliability = .94.

Download File

PDF (Abstract)
Software maintainability assessment based on collaborative CMMI model.pdf

Download (34kB) | Preview
Official URL or Download Paper: http://iukl.edu.my/iukl-research-journal/archives/

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: IKRAM Education
Notes: Selected paper from International Conference on Engineering, Information Technology and Science (ICEITS)
Keywords: Capability maturity model integration; Software maintenance; Software maintenance process; Multi agent system; Rasch model
Depositing User: Nabilah Mustapa
Date Deposited: 02 May 2017 04:39
Last Modified: 02 May 2017 04:39
URI: http://psasir.upm.edu.my/id/eprint/51803
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item