Title
An Optimization Model For Reuse Scenario Selection Considering Reliability And Cost In Software Product Line Development
Abstract
In this paper, a model that assists developers to evaluate and compare alternative reuse scenarios in software product line (SPL) development systematically in proposed. The model can identify basic activities (abstracted as operations) and precisely relate cost and reliability with each basic operation. A typical reuse mode is described from the perspectives of application and domain engineering. According to this scheme, six reuse modes are identified, and alternative industry reuse scenarios can be derived from these modes. A bi-objective 0-1 integer programming model is developed to help decision makers select reuse scenarios when they develop a SPL to minimize cost and maximize reliability while satisfying system requirements to a certain degree. This model is called the cost and reliability optimization under constraint satisfaction (CROS). To design the model efficiently, a three-phase algorithm for finding all efficient solutions is developed, where the first two phases can obtain an efficient solution, and the last phase can generate a nonsupported efficient solution. Two practical methods are presented to facilitate decision making on selecting from the entire range of efficient solutions in light of the decision-maker's preference for man-computer interaction. An application of the CROS model in a mail server system development is presented as a case study.
Year
DOI
Venue
2011
10.1142/S0219622011004580
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
Keywords
Field
DocType
Software product line, reuse models, optimization models, efficient solution
Data mining,Constraint satisfaction,Integer programming model,Server system,Domain engineering,Reuse,Artificial intelligence,Software product line,System requirements,Machine learning,Mathematics,Reliability optimization
Journal
Volume
Issue
ISSN
10
5
0219-6220
Citations 
PageRank 
References 
7
0.42
34
Authors
4
Name
Order
Citations
PageRank
Zhiqiao Wu170.76
Jiafu Tang254149.29
C. K. Kwong353340.00
Ching-Yuen Chan4745.69