Software Structure Metrics Based on Information Flow Export

@article{henry-kafura-81, abstract = {Structured design methodologies provide a disciplined and organized guide to the construction of software systems. However, while the methodology structures and documents the points at which design decisions are made, it does not provide a specific, quantitative basis for making these decisions. Typically, the designers' only guidelines are qualitative, perhaps even vague, principles such as "functionality," "data transparency," or "clarity." This paper, like several recent publications, defines and validates a set of software metrics which are appropriate for evaluating the structure of large-scale systems. These metrics are based on the measurement of information flow between system components. Specific metrics are defined for procedure complexity, module complexity, and module coupling. The validation, using the source code for the UNIX operating system, shows that the complexity measures are strongly correlated with the occurrence of changes. Further, the metrics for procedures and modules can be interpreted to reveal various types of structural flaws in the design and implementation.}, author = {Henry, S. and Kafura, D.}, booktitle = {Software Engineering, IEEE Transactions on}, citeulike-article-id = {2853701}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1702877}, journal = {IEEE Transactions on Software Engineering}, keywords = {complexity\_metrics, information\_flow, kandi, metrics, software\_complexity}, number = {5}, pages = {510--518}, posted-at = {2008-05-31 23:02:07}, priority = {3}, title = {Software Structure Metrics Based on Information Flow}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1702877}, volume = {SE-7}, year = {1981} }

TY - JOUR ID - henry-kafura-81 L3 - citeulike-article-id:2853701 N2 - Structured design methodologies provide a disciplined and organized guide to the construction of software systems. However, while the methodology structures and documents the points at which design decisions are made, it does not provide a specific, quantitative basis for making these decisions. Typically, the designers' only guidelines are qualitative, perhaps even vague, principles such as "functionality," "data transparency," or "clarity." This paper, like several recent publications, defines and validates a set of software metrics which are appropriate for evaluating the structure of large-scale systems. These metrics are based on the measurement of information flow between system components. Specific metrics are defined for procedure complexity, module complexity, and module coupling. The validation, using the source code for the UNIX operating system, shows that the complexity measures are strongly correlated with the occurrence of changes. Further, the metrics for procedures and modules can be interpreted to reveal various types of structural flaws in the design and implementation. IS - 5 JF - IEEE Transactions on Software Engineering EP - 518 TI - Software Structure Metrics Based on Information Flow VL - SE-7 T2 - Software Engineering, IEEE Transactions on SP - 510 KW - complexity_metrics KW - information_flow KW - kandi KW - metrics KW - software_complexity AU - Henry, S AU - Kafura, D PY - 1981/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1702877 ER -