Software quality assurance & management
Software quality assurance & management
Principles of software engineering management
Principles of software engineering management
Managing the software process
Quality assurance for information systems: methods, tools, and techniques
Quality assurance for information systems: methods, tools, and techniques
Practical guide to structured system development and maintenance
Practical guide to structured system development and maintenance
Selecting a requirement determination methodology-contingency approach revisited
Information and Management
ISO 9000-3: a tool for software product and process improvement
ISO 9000-3: a tool for software product and process improvement
Total quality management: are information systems managers ready?
Information and Management
Managing software quality in a very large development project
Information and Management
Strategic directions in software quality
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
Software quality and the Capability Maturity Model
Communications of the ACM
ISO 9000 versus CMM: standardization and certification of IS development
Information and Management
Measuring Process Consistency: Implications for Reducing Software Defects
IEEE Transactions on Software Engineering
Validating the ISO/IEC 15504 Measure of Software Requirements Analysis Process Capability
IEEE Transactions on Software Engineering
Software Engineering: A Beginner's Guide
Software Engineering: A Beginner's Guide
How ISO 9001 Compares With The CMM
IEEE Software
Software Quality: The Elusive Target
IEEE Software
Does Organizational Maturity Improve Quality?
IEEE Software
IEEE Software
An Empirical Analysis of Productivity and Quality in Software Products
Management Science
Selection priority of process areas based on CMMI continuous representation
Information and Management
Information and Software Technology
The effects of change control and management review on software flexibility and project performance
Information and Management
Journal of Systems and Software
Identifying high perceived value practices of CMMI level 2: An empirical study
Information and Software Technology
Subcontracting Processes in Software Service Organisations - An Experience Report
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
A Fuzzy Quantitative Integrated Metric Model for CMMI Appraisal
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Selection priority of process areas based on CMMI continuous representation
Information and Management
Journal of Biomedical Informatics
Information and Management
A CMMI appraisal support system based on a fuzzy quantitative benchmarks model
Expert Systems with Applications: An International Journal
Two case studies on small enterprise motivation and readiness for CMMI
Proceedings of the 11th International Conference on Product Focused Software
Implementing software process improvement initiatives: an empirical study
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
Software process improvement: a road to success
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
Motivators of software process improvement: an analysis of vietnamese practitioners' views
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
Hi-index | 0.00 |
To remain competitive, software companies must establish practices that enhance quality and advance process management. To this end, they have increasingly turned to software process improvement (SPI) methodologies, of which the ISO 9000 standards and the capability maturity model (CMM) are the best known. The underlying principle of both methodologies is to assess organizational capabilities to produce quality software, but they depend on different underlying processes.Whether the practices advocated by these methodologies lead to high-quality software has been the topic of ongoing debates. Both scholars and practitioners are looking for hard evidence to justify the time and effort required by such guidelines to improve the software-development process and its end product.In this paper, we investigate the impact of SPI methodologies on software quality, first by theoretical comparison and then with empirical data. Our findings reveal that each methodology has had a different level of impact on software quality factors. These findings could help software-development organizations select the methodology or combination that best meets their quality requirement.