Software Product Line Measurement Process Capability Maturity Model

2014 ◽  
Vol 536-537 ◽  
pp. 673-677
Author(s):  
Jian Jie Ding
Keyword(s):  
Process Capability ◽  
Software Product Line ◽  
Academic Community ◽  
Product Line ◽  
Measurement Process ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Capability Maturity ◽  
Line Measurement ◽  
Software Product

Software product line has been a key area of concern in software industry due to its advantage on the productivity and quality of software products. At same time, both software organizations and the academic community are aware that the software measurement is necessary in software product line. However, there are many problems: what is difference in software product line measurement, how about their measurement process in the end, etc. It addresses this problem by creating a specialized Software Product Line Measurement Process Capability Maturity Model (SPLMP-CMM). SPLMP-CMM including five maturity levels: initial, tentatively, defined, compesive and optimized. The model focus on the basic practice areas which should be implementing of every level, it helps the originations to assess their measurement process and provides guidance for them to a higher maturity level.

scholarly journals Remanufacturing Process Capability Maturity Model

2017 ◽  
Vol 8 ◽  
pp. 715-722 ◽  
Author(s):  
Steffen Butzer ◽  
Sebastian Schötz ◽  
Rolf Steinhilper
Keyword(s):  
Process Capability ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Capability Maturity

The development of the data science capability maturity model: a survey-based research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mert Onuralp Gökalp ◽  
Ebru Gökalp ◽  
Kerem Kayabay ◽  
Altan Koçyiğit ◽  
P. Erhan Eren
Keyword(s):  
Data Science ◽  
Gap Analysis ◽  
Process Capability ◽  
Capability Maturity Model ◽  
International Electrotechnical Commission ◽  
Maturity Model ◽  
Data Governance ◽  
Content Type ◽  
Capability Maturity ◽  
Development Framework

PurposeThe purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.Design/methodology/approachThis paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.FindingsIt was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.Originality/valueThis paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.

scholarly journals Organizational Testing Management Maturity Model for a Software Product Line

2010 ◽  
Author(s):  
Etiene Lamas ◽  
Érica Ferreira ◽  
Marcos Ribeiro do Nascimento ◽  
Luiz Alberto Vieira Dias ◽  
Fabio Fagundes Silveira
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Maturity Model ◽  
Software Product ◽  
Testing Management
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