Evolving Software Processes

1ReMo: A Recommendation Development Model for Software Process Improvement Based on Correlation Analysis

SUJIN CHOI¹, DAE-KYOO KIM^2*, SOOYONG PARK³

¹ Graduate School of Information and Technology, Sogang University, Seoul, South Korea

² Department of Computer Engineering, Sogang University, Seoul, South Korea

³ Department of Computer Science and Engineering, Oakland University, Rochester, Michigan, USA

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Abstract

Continuous software process assessment and improvement are integral to the success of business objectives. Process assessment identifies the strengths and weaknesses in a software process and produces recommendations for planning improvements. The quality of recommendations is critical for constructive improvement planning and implementation. While widely practiced assessment models (e.g., CMMI, SPICE) address the identification of strengths and weaknesses and emphasize the importance of recommendations, they lack in providing concrete methods for developing quality recommendations. This leads to ad-hoc practices in building recommendations which often result in poor quality of recommendations as witnessed in a review of the current practice. To address this problem, we present ReMo, a novel recommendation development model that enables systematic development of quality recommendations through rigorous analysis of assessment findings. In ReMo, recommendations are developed through three phases: i) correlations ...