Optimal components selection based on fuzzy-intra coupling density for component-based software systems under build-or-buy scheme

Abstract

Component-Based Software Engineering (CBSE) is an approach to building and developing software systems based on software components. In component-based software systems, there are various software components, including Commercial off the Shelf (COTS) and in-house components. Software developers can build their desired software component as in-house or COTS. The problem of deciding optimally between COTS and in-house components is one of the major challenges of software developers, which is known as the component selection problem. This can be resolved by evaluating the criteria for optimality in component selection and then solving the component selection problem by optimization techniques. In this paper, an attempt was made to optimize the component selection problem through the multi-objective optimization by maximizing the Fuzzy-Intra Coupling Density (Fuzzy-ICD) and functionality as objective functions, and also taking into account budget, delivery time, reliability, and Fuzzy-ICD as constraints of multi-objective problems. Fuzzy ICD is a more accurate criterion to calculate the relationship between Cohesion and Coupling of components, which is obtained through the fuzzy computing of each of them, based on the Meyers classification. Thus, after a two-criterion optimization model formulation, this optimization problem was solved by fuzzy multi objectives approach. Finally, the proposed method was evaluated by performing the case study of financial-accounting system. Comparison of the results showed that the proposed method could select optimal components with maximum functionality and Fuzzy-ICD and fewer rates of time and Budget (0.29, 0.43, 1.1 s, and 88$ were the improved rates of functionality, Fuzzy-ICD, time, and budget, respectively).

Vertical Integration Decision Making in Information Technology Management

“…Studies in the IT environment have become more prominent with the emergence of Industry 4.0 [20]. Make-or-buy decisions in IT are also one of the most important issues affecting the efficiency of companies [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Inadequate tools and methods for software make-or-buy decisions could influence firms' capability to use IT competitively [21].…”

“…Using survey results is another way to obtain data for vertical-integration decision studies [25,26]. A few studies [16,[27][28][29][30][31] focused on handling vertical-integration decisions via optimization models. Bali et al [30] and Kalantari et al [31] included a fuzzy approach in their optimization studies.…”

“…A few studies [16,[27][28][29][30][31] focused on handling vertical-integration decisions via optimization models. Bali et al [30] and Kalantari et al [31] included a fuzzy approach in their optimization studies. On the other hand, Buchowicz [14] and Rand [15] evaluated strategic make-or-buy decisions with multistage decision models.…”

Al-Biruni Earth Radius Optimization Based Algorithm for Improving Prediction of Hybrid Solar Desalination System

“…The ability of artificial intelligence approaches to generalize means that they can forecast behavior in situations that they were not exposed to during the training phase. By using these techniques, one can avoid issues with experimental methods, such as the use of low accuracy statistical-based correlations between HDH-SSF's parameters derived from experimental data, or issues with numerical methods, such as those associated with solving nonlinear mathematical models [38]. The relationship between HDH-SSF design and operating variables is poorly understood and has not been the subject of extensive experimental research.…”

Software components selection: An optimized selection criterion for component-based software engineering (CBSE)

“…The proposed framework in this study has political, social, and financial issues because it has troubles with the utilized AI techniques59 . Kalantari, Samira, et al (2021) Optimized software component selection via multi-objective by maximizing the fuzzy-Intra coupling density (Fuzzy_ICD) and functionality as objective functions by taking into considerations budget, delivery time, and reliability as constraints of such selection techniques60 . Banga, Anjali, and Pradeep Kumar Bhatia (202 proposed a long-short term memory approach integrated…”