Interactive Precedence of Test Cases in a Scenario Using Genetic Algorithm
نویسندگان
چکیده
This paper presents a methodology for requirement prioritization. The approach provides a flexible and realistic approach that considers all attributes of particular requirements and fuses them into a unified metric, representative of all quality criteria identified for a specific software project. The derived quality measurement can be used as the main metric for requirements prioritization. The methodology addresses flaws from previous work and provides mechanisms for improving its suitability for practical applications. Keywords— Requirements Engineering, Requirements Prioritization, Desirability Functions, Software Engineering, Agile methodology, Genetic Algorithm
منابع مشابه
An improved genetic algorithm for multidimensional optimization of precedence-constrained production planning and scheduling
Integration of production planning and scheduling is a class of problems commonly found in manufacturing industry. This class of problems associated with precedence constraint has been previously modeled and optimized by the authors, in which, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order to make. It is a combinatorial,...
متن کاملLocomotive assignment problem with train precedence using genetic algorithm
This paper aims to study the locomotive assignment problem which is very important for railway companies, in view of high cost of operating locomotives. This problem is to determine the minimum cost assignment of homogeneous locomotives located in some central depots to a set of pre-scheduled trains in order to provide sufficient power to pull the trains from their origins to their destinations...
متن کاملSelection of an Optimal Hybrid Water/Gas Injection Scenario for Maximization of Oil Recovery Using Genetic Algorithm
Production strategy from a hydrocarbon reservoir plays an important role in optimal field development in the sense of maximizing oil recovery and economic profits. To this end, self-adapting optimization algorithms are necessary due to the great number of variables and the excessive time required for exhaustive simulation runs. Thus, this paper utilizes genetic algorithm (GA), and the objective...
متن کاملOptimisation of assembly scheduling in VCIM systems using genetic algorithm
Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional computer-integrated manufacturing (CIM) system to global level. Assembly scheduling in VCIM systems is ...
متن کاملA Cuckoo search algorithm (CSA) for Precedence Constrained Sequencing Problem (PCSP)
Precedence constrained sequencing problem (PCSP) is related to locate the optimal sequence with the shortest traveling time among all feasible sequences. In PCSP, precedence relations determine sequence of traveling between any two nodes. Various methods and algorithms for effectively solving the PCSP have been suggested. In this paper we propose a cuckoo search algorithm (CSA) for effectively ...
متن کامل