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A New Weighted Composite Complexity Measure for Object-Oriented Systems

ISSN-2223-4985
Journal from gdlhub / 2012-06-22 14:40:49
Oleh : Usha Chhillar , Shuchita Bhasin, International Journal of Information and Communication Technology Research
Dibuat : 2012-06-22, dengan 1 file

Keyword : Weighted composite complexity measure, testability, maintainability, reusability, object-oriented software, WMC, NOC, DIT, CBO, v(G).
Url : http://esjournals.org/journaloftechnology/archive/vol1no3/vol1no3_3.pdf
Sumber pengambilan dokumen : Internet

Controlling and minimizing software complexity is the most important objective of each software development paradigm

because it affects all other software quality attributes like reusability, reliability, testability, maintainability etc. For this

purpose, a number of software complexity measures have been reported to quantify different aspects of complexity. As the

development of object-oriented software is rising, more and more complexity metrics are being developed for the same. In

this paper, we have attempted to design a weighted composite complexity measure by employing the concept of weights to

quantify various aspects of complexity which may arise due to inheritance level, type and nesting level of control

structures, and size of the class/program. The proposed weighted measure yields quiet interesting results and insight into

various complexity aspects of software. Estimation of the new measure is also compared with four Chidamber and

Kemerer’s (CK) metrics – weighted methods per class (WMC), number of children (NOC), depth of inheritance tree (DIT),

coupling between objects (CBO) and McCabe’s complexity measure v(G) and is illustrated by practical programs.

Deskripsi Alternatif :

Controlling and minimizing software complexity is the most important objective of each software development paradigm

because it affects all other software quality attributes like reusability, reliability, testability, maintainability etc. For this

purpose, a number of software complexity measures have been reported to quantify different aspects of complexity. As the

development of object-oriented software is rising, more and more complexity metrics are being developed for the same. In

this paper, we have attempted to design a weighted composite complexity measure by employing the concept of weights to

quantify various aspects of complexity which may arise due to inheritance level, type and nesting level of control

structures, and size of the class/program. The proposed weighted measure yields quiet interesting results and insight into

various complexity aspects of software. Estimation of the new measure is also compared with four Chidamber and

Kemerer’s (CK) metrics – weighted methods per class (WMC), number of children (NOC), depth of inheritance tree (DIT),

coupling between objects (CBO) and McCabe’s complexity measure v(G) and is illustrated by practical programs.

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