Title :
Quantifying architectural attributes
Author :
Nassar, D.M. ; Gradetsky, N. ; Ammar, H.H. ; Yu, B. ; Shereshevsky, M. ; AbdelMoez, W. ; Mili, A. ; Bogazzi, S.
Author_Institution :
Lane Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA
Abstract :
Summary form only given. Traditional software metrics are inapplicable to software architectures, because they require information that is not available at the architectural level, and reflect attributes that are not meaningful at this level. We briefly present architecture-relevant quality attributes, then we introduce architecture-enabled quantitative functions, and run an experiment which shows how and to what extent the latter are correlated to (hence can be used to predict) the former.
Keywords :
software architecture; software metrics; software quality; architectural level quality attributes; error propagation; information flow; quantitative function; software architecture; software metrics; Computer errors; Computer science; Educational institutions; Software architecture; Software metrics;
Conference_Titel :
Computer Systems and Applications, 2003. Book of Abstracts. ACS/IEEE International Conference on
Conference_Location :
Tunis, Tunisia
Print_ISBN :
0-7803-7983-7
DOI :
10.1109/AICCSA.2003.1227498
