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An empirical study identifying high perceived value practices of CMMI level 2

Niazi, Mahmood and Babar, Muhammad Ali and Ibrahim, Suhaimi (2008) An empirical study identifying high perceived value practices of CMMI level 2. In: Lecture Notes in Computer Science. Springer Verlag, Germany, pp. 427-441. ISBN 978-354069564-6

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Official URL: http://dx.doi.org/10.1007/978-3-540-69566-0_34

Abstract

We have conducted face-to-face questionnaire based interview sessions with twenty-three Malaysian software practitioners in order to determine the perceived value associated with the specific practices of "requirements management", "process and product quality assurance" and "configuration management" process areas of CMMI level 2 in the stage representation. The objective of this study is to identify the extent to which a CMMI practice is used in order to develop a finer-grained framework, which encompasses the notion of perceived value within specific practices. This will provide software process improvement (SPI) practitioners with some insight into designing appropriate SPI implementation strategies. We asked practitioners to choose and rank "requirements management", "process and product quality assurance" and "configuration management" practices against the five types of assessments (high, medium, low, zero or do not know). From this, we propose the notion of 'perceived value' associated with each practice. We have identified 'high' and 'medium' perceived values CMMI level 2 practices. We have also identified the viewpoints of developers and managers about these practices.

Item Type:Book Section
Additional Information:9th International Conference on Product-Focused Software Process Improvement, PROFES 2008; Monte Porzio Catone; 23 June 2008 through 25 June 2008
Uncontrolled Keywords:flow patterns, interchanges, quality assurance, quality control, requirements engineering, total quality management, configuration management, empirical studies, implementation strategies, international conferences, level 2, Malaysian, perceived value, product qualities, requirements management, software practitioners, software process improvement, computer software selection and evaluation
Subjects:Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System
ID Code:12493
Deposited By: Liza Porijo
Deposited On:03 Jun 2011 05:20
Last Modified:02 Oct 2017 07:42

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