Is ripple effect intuitive? A pilot study

Innovations in Systems and Software Engineering

Volumn 2, Issue 2, 2006, Pages 88-98

  Black, Sue ^a  

^a LONDON SOUTH BANK UNIVERSITY   (United Kingdom)

Author keywords

Impact analysis; Ripple effect; Software measurement

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SOFTWARE MAINTENANCE;

IMPACT ANALYSIS; MUTATION TESTING TOOL; RIPPLE EFFECT; SOFTWARE MEASUREMENT;

COMPUTER AIDED SOFTWARE ENGINEERING;

EID: 33746813960     PISSN: 16145046     EISSN: 16145054     Source Type: Journal    
DOI: 10.1007/s11334-006-0004-x     Document Type: Article

References (21)

1. AlSharif M, Bond WP, Al-Otaiby T (2004) Assessing the complexity of software architecture. In: Proceedings of the 42nd annual Southeast regional conference. ACM Press, New York, pp 98-103. DOI http://doi.acm. org/10.1145/986537.986562
2. JR Bainbridge 1993 A probablistic method for software product measurement SCISM South Bank University London 149Ph.D. thesis
3. Bainbridge JR, Whitty RW (2000) An empirical investigation into fault coupling in finite functions. Final report to the EPSRC on Grant gr/ K85025
4. Baker A, Bieman J, Fenton N, Gustavson D, Melton A, Whitty R (1990) A philosophy for software measurement. J Syst Softw 12(3):277-281 10.1016/ 0164-1212(90)90050-V
5. Basili VR, Hutchens DH (1983b) An empirical study of a syntactic complexity family. IEEE Trans Softw Eng 9(6):664-672
6. Black SE (2001a) Automating ripple effect measurement. In: 5th world multi-conference on systemics, cybernetics and informatics
7. SE Black 2001 Computation of ripple effects for software School of Computing Information, Systems and Mathematics, South Bank University London 124Ph.D. thesis
8. Black SE (2001c) Computing ripple effect for software maintenance. Softw Maint Res Pract 13(4)
9. Bowen JB (1978) Are current approaches sufficient for measuring software quality? In: Proceedings of the software quality assurance workshop, pp 148-155
10. N Fenton SL Pfleeger 1996 Software metrics: A rigorous and practical approach Chapman and Hall London
11. Glass RL (2002) Sorting out software complexity. Commun ACM 45(11):19-21, DOI http://doi.acm.org/10.1145/581571.581584
12. MH Halstead 1977 Elements of software science Elsevier New York
13. Haney FM (1972) Module connection analysis-a tool for scheduling of software debugging activities. In: Proceedings of the fall joint computer conference, pp 173-179
14. McCabe TJ (1976) A complexity measure. IEEE Trans Softw Eng 2(4):308-320 0352.68066
15. GJ Myers 1980 A model of program stability Van Nostrand Reinhold New York 137-155
16. Park E Robert (1992) Software size measurement: A framework for counting source statements. Software Engineering Institute
17. M Shepperd 1993 Software engineering metrics volume I: Measures and validations McGraw-Hill London
18. Soong NL (1977) A program stability measure. In: Proceedings of the 1977 annual ACM conference, pp 163-173
19. Yau SS, Collofello JS (1980) Some stability measures for software maintenance. IEEE Trans Softw Eng SE 6(6):545-552
20. Yau SS, Collofello JS (1985) Design stability measures for software maintenance. IEEE Trans Softw Eng SE 11(9):849-856
21. Yau SS, Collofello JS, McGregor TM (1978) Ripple effect analysis of software maintenance. In: Proceedings of COMPSAC '78, pp 60-65