DocumentCode
600290
Title
On the role of composition code properties on evolving programs
Author
Dantas, Francisco ; Garcia, Alvaro ; Whittle, Jon
Author_Institution
Inf. Dept., PUC-Rio, Rio, Brazil
fYear
2012
fDate
20-21 Sept. 2012
Firstpage
291
Lastpage
300
Abstract
Composition code defines the binding of two or more modules in a program. Post object-oriented programming techniques are increasingly providing expressive mechanisms to enable the flexible definition of composition code. Such composition mechanisms are intended to support programmers in factoring out the complexity of a program and facilitate its evolution. However, the properties of composition code might introduce new flavours of complexity, and in turn cause side effects on program evolvability. Unfortunately, the role of composition code properties on evolving software systems is not yet well understood. This gap is mostly due to the lack of a measurement framework to characterize and quantify composition code. Existing metrics suites are focused on quantifying properties of programs and their modules only. Therefore, programmers are not able to analyse and understand the impact of particular composition properties on program evolvability. This paper presents a framework aimed at characterizing and computing composition code properties. The proposed framework consists of terminology and a metrics suite, which can be used in programs structured with diverse sets of composition mechanisms. We also empirically studied the role of the measurement framework through 22 versions of 4 software projects. Our evaluation revealed that the measurement framework provided consistent indicators of program instabilities observed in history of the evolving compositions.
Keywords
object-oriented programming; software metrics; composition code property; composition mechanism; measurement framework; object-oriented programming technique; program complexity; program evolution; program evolvability; program instability; software project; Complexity theory; Java; Measurement; Programming; Software; Stability analysis; Terminology; Composition mechanisms; program evolution; software metrics; software stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
Conference_Location
Lund
ISSN
1938-6451
Print_ISBN
978-1-4503-1056-7
Electronic_ISBN
1938-6451
Type
conf
DOI
10.1145/2372251.2372304
Filename
6475430
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