Requirements Engineering: Processes and Techniques
Requirements Engineering: Processes and Techniques
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
Converging on the Optimal Attainment of Requirements
RE '02 Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering
The Art and Science of Software Release Planning
IEEE Software
Search Based Approaches to Component Selection and Prioritization for the Next Release Problem
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
REV '06 Proceedings of the 1st international workshop on Requirements Engineering Visualization
Research Directions in Requirements Engineering
FOSE '07 2007 Future of Software Engineering
Pareto efficient multi-objective test case selection
Proceedings of the 2007 international symposium on Software testing and analysis
The multi-objective next release problem
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Bi-objective release planning for evolving software systems
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Software product release planning through optimization and what-if analysis
Information and Software Technology
An optimization framework for "build-or-buy" decisions in software architecture
Computers and Operations Research
Optimizing requirements decisions with keys
Proceedings of the 4th international workshop on Predictor models in software engineering
Empirical analysis of a genetic algorithm-based stress test technique
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Search Based Requirements Optimisation: Existing Work and Challenges
REFSQ '08 Proceedings of the 14th international conference on Requirements Engineering: Foundation for Software Quality
"Fairness Analysis in Requirements Assignments
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Search based data sensitivity analysis applied to requirement engineering
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Integrated requirement selection and scheduling for the release planning of a software product
REFSQ'07 Proceedings of the 13th international working conference on Requirements engineering: foundation for software quality
Automated selection of software components based on cost/reliability tradeoff
EWSA'06 Proceedings of the Third European conference on Software Architecture
Information and Software Technology
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Dynamic adaptive search based software engineering
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
Empirical evaluation of search based requirements interaction management
Information and Software Technology
A scenario-based robust model for the next release problem
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a system. Unfortunately, it has been widely observed that requirements tend to be changed as the development process proceeds and what is suitable for today, may not serve well into the future. Though SBSE has been widely applied to requirements analysis, there has been no previous work that seeks to balance the requirements needs of today with those of the future. This paper addresses this problem. It introduces a multi-objective formulation of the problem which is implemented using multi-objective Pareto optimal evolutionary algorithms. The paper presents the results of experiments on both synthetic and real world data.