title: Process correlation analysis model for process improvement identification.
abstract: Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.
authors: Sogang University, Seoul, Republic of Korea.
authors: Su-jin
authors: 0000-0001-7684-3387
authors: SJ
authors: Choi
authors: Oakland University, Rochester' MI 48309, USA.
authors: Dae-Kyoo
authors: 0000-0002-7133-9111
authors: DK
authors: Kim
authors: Sogang University, Seoul, Republic of Korea.
authors: Sooyong
authors: S
authors: Park
mesh_terms: D000465:Algorithms; D017408:Guidelines as Topic; D038622:Internationality; D008962:Models, Theoretical; D058996:Quality Improvement / Q000592:standards*; D012984:Software / Q000592:standards*; D012985:Software Design; D012986:Software Validation