Title :
Towards Structured software Cognitive complexity measurement with Granular Computing strategies
Author :
Auprasert, Benjapol ; Limpiyakorn, Yachai
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Cognitive complexity measures quantify human difficulty in understanding the source code based on cognitive informatics foundation. The discipline derives cognitive complexity on a basis of fundamental software factors i.e. inputs, outputs, and internal processing architecture. The invention of cognitive functional size (CFS) stands out as the breakthrough to software complexity measures. Several subsequent research has tried to enhance CFS to fully consider more factors, such as information contents in the form of identifiers and operators. However, these existing approaches quantify the factors separately without considering the relationships among them. This paper presents an approach to integrating granular computing into the new measure called structured cognitive information measure or SCIM. The proposed measure unifies and re-organizes complexity factors analogous to human cognitive process. Empirical studies were conducted to evaluate the virtue of SCIM, including theoretical validation through nine Weyuker´s properties. The universal applicability of granular computing concepts is also demonstrated.
Keywords :
artificial intelligence; cognitive systems; software metrics; SCIM; cognitive functional size; cognitive informatics foundation; granular computing strategies; source code; structured cognitive information measure; structured software cognitive complexity measurement; Anthropometry; Assembly; Cognitive informatics; Collaborative software; Humans; Organizing; Problem-solving; Size measurement; Software measurement; Software quality; Cognitive complexity measure; granular computing strategies; software metrics; unified and structured factors;
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250713