Praserttitipong, D. and Sophatsathit, P. (2007) A Framework for Deterministic Intention Specifications of an Agent toward an Incomplete Declared Intention. Proceedings of the 6th IEEE/ACIS International Conference on Computer and Information Science, Melbourne, 11-13 July 2007, 170-175.

has been cited by the following article:

• TITLE: Complexity Measure of Software Composition Framework

  AUTHORS: Nalinee Sophatsathit

  KEYWORDS: Software Composition, Functionality Matching, Function Point, Complexity Measure

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.10 No.4, April 13, 2017

  ABSTRACT: This article proposes a pragmatic approach to software composition based on matching criteria by mimicking integrated hardware counterpart. The tangible value of consumer goods as described by Cox instills this logical derivation of the proposed approach. As software gradually matures in component form, various software compositions can be systematically assembled from related existing software. Two application software are composed based on their functionality matching. Their composition complexities are measured by function point. The total effort unveils a noteworthy finding that high complexity software demands larger effort to deploy. Thus, the proposed software composition framework not only offers the freedom of development mandates to the development team, but also broadens the horizon of cost and project evaluations by arriving at the proper mix of constituent components in the software product.