From CMMI to SPICE – Experiences on How to Survive a SPICE Assessment Having Already Implemented CMMI

Bella, Fabio; Hörmann, Klaus; Vanamali, Bhaskar

doi:10.1007/978-3-540-69566-0_13

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…Many suppliers and even some OEMs haven't completely familiarized themselves with pro cess models such as the CMMI Model Framework and the Software Process Improvement and Capability Determi nation (Spice, ISO/IEC 15504) model. 6 Such models recommend best practices…”

Section: Immature Maintenance Practicesmentioning

confidence: 99%

Specification Inference Using Systematic Reverse-Engineering Methodologies: An Automotive Industry Application

Shahbaz

Shashidhar

Eschbach³

2012

IEEE Softw.

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Section: Immature Maintenance Practicesmentioning

confidence: 99%

Specification Inference Using Systematic Reverse-Engineering Methodologies: An Automotive Industry Application

Shahbaz

Shashidhar

Eschbach³

2012

IEEE Softw.

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“…However, project-level processes in software development can be divisible, and project teams can customize their processes by selecting and combining elements from multiple plan-based and agile normative frameworks (Fitzgerald et al 2006;Napier et al 2008). Practitioner reports from the field also suggest that firms are increasingly adopting multiple process frameworks for their projects and embracing software process diversity (Anderson 2005;Bella et al 2008). Software process diversity refers to the condition of project-level processes being composed of elements drawn from multiple normative software process frameworks that could differ in their underlying attributes and philosophies (Lindvall and Rus 2000;Deck 2002).…”

Section: Introductionmentioning

confidence: 99%

Software Process Diversity: Conceptualization, Measurement, and Analysis of Impact on Project Performance

Ramasubbu

Bharadwaj

Tayi

2015

MISQ

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We investigate software process diversity, defined as the project condition arising out of the simultaneous use of multiple software development process frameworks within a single project. We analyze the antecedents and consequences of software process diversity and examine the relationship among software process diversity, organizational process compliance, and software project performance. Our conceptualization characterizes software process diversity as the response of a project team to contingencies such as requirements volatility, design and technological novelty, and the level of customer involvement in the project. We empirically tested this conceptualization utilizing a discovery-oriented approach and data collected from 410 large commercial software projects. Results show that higher levels of requirements volatility, design and technological novelty, and customer involvement increased software process diversity within a project. However, software process diversity within a project decreased with an increase in the level of process compliance enforced on the project. We also found that a higher degree of fit (or match) between process diversity and process compliance, rather than those mechanisms independently, was significantly associated with an increase in project productivity and quality. These results indicate that increasing software process diversity in response to project-level contingencies improves project performance only when there is a concomitant increase in organizational process compliance efforts. We discuss the implications of these results for research and derive prescriptive guidelines to manage the fit between process diversity and process compliance for achieving better software project performance.

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Software Quality Management Standards and Models

Galin¹

2018

Software Quality: Concepts and Practice

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From CMMI to SPICE – Experiences on How to Survive a SPICE Assessment Having Already Implemented CMMI

Cited by 7 publications

References 2 publications

Specification Inference Using Systematic Reverse-Engineering Methodologies: An Automotive Industry Application

Specification Inference Using Systematic Reverse-Engineering Methodologies: An Automotive Industry Application

Software Process Diversity: Conceptualization, Measurement, and Analysis of Impact on Project Performance

Software Quality Management Standards and Models

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