Interpretation of source code clusters in terms of the ISO/IEC-9126 maintainability characteristics

Proceedings of the European Conference on Software Maintenance and Reengineering, CSMR

Volumn , Issue , 2008, Pages 63-72

  Kanellopoulos, Yiannis ^a,b   Tjortjis, Christos ^a   Heitlager, Ilja ^c   Visser, Joost ^c  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF PATRAS   (Greece)

^c Software Improvement Group   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATION; CHLORINE COMPOUNDS; CODES (STANDARDS); CODES (SYMBOLS); COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; DATA MINING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; MAINTAINABILITY; MAINTENANCE; QUALITY CONTROL; REENGINEERING; SEARCH ENGINES; SOFTWARE ENGINEERING; TECHNOLOGY;

ABSTRACTION LEVELS; DATA POINTS; ENTIRE SYSTEM; EUROPEAN; ISO/IEC 9126; MULTIPLE DIMENSIONS; QUALITY CHARACTERISTICS; QUALITY PROBLEMS; QUANTITATIVE ASSESSMENTS; SOFTWARE ENGINEERING DOMAIN; SOFTWARE PRODUCT QUALITY; SOFTWARE SYSTEMS; SOFTWARE-QUALITY; SOURCE CODING;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 50249118312     PISSN: 15345351     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSMR.2008.4493301     Document Type: Conference Paper

References (17)

1. P. Antonellis, D. Antoniou, Y. Kanellopoulos, C. Makris, E. Theodoridis, C. Tjortjis, and N.Tsirakis, "A data mining methodology for evaluating maintainability according to ISO/IEC-9126 software engineering - product quality standard," in Special Session on System Quality and Maintainability (SQM), 2007.
2. M. Broy, F. Deissenboeck, and M. Pizka, "Demystifying maintainability," in Fourth International Workshop on Software Quality Assurance (SOQUA 2007). ACM, 2007.
3. Arie van Deursen, Tobias Kuipers: Source-Based Software Risk Assessment. ICSM 2003: 385-388
4. I. Heitlager., T. Kuipers, and J. Visser, A Practical Model for Measuring Maintainability, In proceedings of the 6th International Conference on the Quality of Information and Communications Technology (QUATIC 2007), IEEE Computer Society Press, 2007.
5. ISO/IEC 9126-1, Software Engineering - Product Quality Int'l Standard Quality Model, Geneva 2003.
6. A.K Jain, M.N. Murty, and P.J. Flynn, "Data Clustering: A Review", ACM Computing Surveys, ACM, Vol. 31, No 3, September 1999, pp. 264-323.
7. S.H. Kan. "Metrics and Models in Software Quality Engineering". Addison-Wesley, 2003.
8. th International Conference on Tools for Artificial Intelligence (ICTAI2007), IEEE Computer Society Press 2007
9. Tobias Kuipers, Joost Visser: A Tool-based Methodology for Software Portfolio Monitoring. Software Audit and Metrics 2004: 118-128
10. S. Liang, C. Lien, "Selecting the Optimal ERP Software by Combining the ISO 9126 Standard and Fuzzy AHP Approach", Journal of Contemporary Management Research, Pages 23-44, Vol. 3, No. 1, March 2007
11. T.J. McCabe, "A complexity measure." IEEE Trans. Software Eng., vol. 2, no. 4, pp. 308-320, 1976.
12. P. Oman and J. Hagemeister, "Metrics for assessing a software system's maintainability," in Proceedings of Conference on Software Maintenance, 1992, Nov. 1992, pp. 337-344.
13. P. Oman and J. R. Hagemeister, "Construction and testing of polynomials predicting software maintainability." Journal of Systems and Software, vol. 24, no. 3, pp. 251-266, 1994.
14. R. Plösch, H. Gruber, A. Hentschel, Ch. Kömer, G. Pomberger, S. Schiffer, M. Saft, S. Storck: The EMISQ Method - Expert Based Evaluation of Internal Software Quality, Proc. 3rd IEEE Systems and Software Week, 2007, Baltimore, USA, IEEE Computer Society Press, 2007.
15. T. Saaty Multicriteria Decision Making: The Analytic Hierarchy Process, Vol. 1, AHP Series, RWS Publications, 502 pp., 1990
16. S. Svahnberg, C. Wohlin, "An Investigation of a Method for Identifying a Software Architecture Candidate with Respect to Quality Attributes", Journal of Empirical Software Engineering, pages 140-181, Vol. 10, 2005
17. S. Zhong, T.M. Khoshgoftaar, and N. Seliya, "Analyzing Software Measurement Data with Clustering Techniques", IEEE Intelligent Systems, Vol. 19, No. 2, 2004, pp. 20-27.