Metrics to assess the likelihood of project success based on architecture reviews

Empirical Software Engineering

Volumn 4, Issue 3, 1999, Pages 199-215

  Avritzer, Alberto ^a,c   Weyuker, Elaine J ^b  

^a AT AND T LABS RESEARCH   (United States)

^b AT AND T LABS RESEARCH   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); COMPUTER ARCHITECTURE; PROJECT MANAGEMENT; RISK MANAGEMENT;

ARCHITECTURE AUDIT;

SOFTWARE ENGINEERING;

EID: 0033185415     PISSN: 13823256     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009826509846     Document Type: Article

References (5)

1. Abowd, G., Bass, L., Clements, P., Kazman, R., Northrup, L., and Zaremski, A. 1997. Recommended best industrial practice for software architecture evaluation. Technical Report CMU/SEI 96-TR-025, available at http://www.sei.cmu.edu/products/publications.
2. Garlan, D., Allen, R., and Ockerbloom, J. 1995. Architectural mismatch: why reuse is so hard. IEEE Software: 17-26.
3. Garlan, D., and Perry, D. 1995. Introduction to the special issue on software architecture. IEEE Trans. on Software Engineering: 269-274.
4. Ostrand, T. J., and Weyuker, E. J. 1984. Collecting and categorizing software error data in an industrial environment. J. Systems and Software 4: 289-300.
5. Shaw, M., and Garlan, D. 1996. Software Architecture - Perspectives on an Emerging Discipline. Prentice-Hall, Inc.