Abdel Salam Sayyad

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Software design is a process of trading off competing objectives. If the user objective space is rich, then we should use optimizers that can fully exploit that richness. For example, this study configures software product lines (expressed as feature maps) using various search-based software engineering methods. As we increase the number of optimization(More)
Software product lines are hard to configure. Techniques that work for medium sized product lines fail for much larger product lines such as the Linux kernel with 6000+ features. This paper presents simple heuristics that help the Indicator-Based Evolutionary Algorithm (IBEA) in finding sound and optimum configurations of very large variability models in(More)
The Search-Based Software Engineering (SBSE) community is increasingly recognizing the inherit “multiobjectiveness” in Software Engineering problems. The old ways of aggregating all objectives into one may very well be behind us. We perform a well-deserved literature survey of SBSE papers that used multiobjective search to find Pareto-optimal(More)
In Search-Based Software Engineering, well-known metaheuristic search algorithms are utilized to find solutions to common software engineering problems. The algorithms are usually taken "off the shelf" and applied with trust, i.e. software engineers are not concerned with the inner workings of algorithms, only with the results. While this may be sufficient(More)
Opti-Select is an Interactive Multi-objective feature analysis and optimization tool for software product lines configuration and feature models optimization based on an innovative UIL (User-In-the-loop) idea. In this tool, the experience of system analysts and stakeholders are merged with optimization techniques and algorithms. Opti-Select interactive(More)
Feature Models are popular tools for describing software product lines. Analysis of feature models has traditionally focused on consistency checking (yielding a yes/no answer) and product selection assistance, interactive or offline. In this paper, we describe a novel approach to identify the most critical decisions in product selection/configuration by(More)
This paper studies heuristic search-based optimization of service compositions. We have investigated applying Genetic Algorithms (GA) to optimize service-oriented architectures (SOA) in terms of security goals and cost, we help software Engineers to map the optimized service composition to the business process model based on security and cost. Service(More)
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