Citation

Alsalemi, Ahmed Mubark and Yeoh, Eng Thiam (2018) A Systematic Literature Review of Requirements Volatility Prediction. In: 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), Mysore, India, 8-9 Sept. 2017.

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Abstract

Requirements volatility is a crucial risk factor in software projects as it directly results in cost and time overruns. Accurately predicting requirements volatility is important for better project management. This paper presents a systematic literature review that focuses on the prediction of the requirements volatility. This literature review aims to answer four research questions: 1) how is requirements volatility prediction applied to different software development methods? 2) What are the machine learning algorithms used to predict requirements volatility in software development? 3) What are the attributes (predictors) used to predict requirements volatility in software development? 4) What are the performance metrics for evaluating existing prediction models? This study presents predictors used in the literature and their performances.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	software development,requirements volatility prediction,,machine learning algorithms,project management,software projects
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5546-5548.6 Office management > HF5548.32-.34 Electronic commerce
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	13 Mar 2021 19:00
Last Modified:	13 Mar 2021 19:00
URII:	http://shdl.mmu.edu.my/id/eprint/7464

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