Optimal component selection for rich internet applications in web engineering

Sekar, K. R.; Sethuraman, Jayaram

doi:10.1109/netact.2017.8076808

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Kaur and Singh (2014), Proposed PROMETHE as a method for component evaluation and selection, which considered some quality attributes for COTS selection, such as reliability, Integrability, performance, cost, and maintainability. However, the proposed method in this study did not consider uncertain information, leading to unreliable and invalid results 42 47 . Tian, Wang, Jiang, and Chen (2017) Proposed a method for component selection based on clustering and information entropy weighting, which industry experts can use to enable them to select the appropriate components depending on the selection results and artificial experience choice of the optimal set of components 48 .…”

Section: Software Component Selection Methods/approachesmentioning

confidence: 97%

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

Nabot

2022

Preprint

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Component-based software engineering (CBSE) is becoming the frequently used approach for software development concerning time and cost constraints. While most people’s lifestyle depends on the use of software applications, the development cost and time of software applications are becoming more difficult to achieve. Also, high-quality and competent applications that fit users’ needs became essential. Therefore, most software development organizations are reusing commercial-off-the-shelf (COTS) to reduce development costs and time. However, most organizations and developers face problems selecting components that fit customer needs to integrate with the target system. So, decisions regarding software component selection are hard to consider regarding the entire quality of the software system. This study aims to investigate the most important matters to software industry practitioners and experts involved in component selection. First, the author asked the practitioners to select the most important quality criteria for an online bookstore from a list by providing their subjective judgment and evaluation grades; after that, utilizing the evidential reasoning (ER) approach for software component selection problems due to its ability to analyze decisions with multilevel evaluations and information uncertainty. Moreover, the main features of the ER approach, such as weight normalization, probability assessment, dealing with uncertainty, and utility intervals, offer several advantages for COTS selection problems, including cost and time minimizing, improved software reliability, effectiveness, and efficiency. This study concentrated on assessing the quality criteria for an online bookstore using the ER approach. Analysis results are provided depending on the computational steps of this approach. Finally, the findings show the rank of the four components according to their weights, evaluation grades, and belief degrees for the selection.

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Section: Software Component Selection Methods/approachesmentioning

confidence: 97%

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

Nabot

2022

Preprint

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“…Kuar and Tomar [27] demonstrated the effectiveness of clustering-based algorithms for selecting components by validating four approaches: fuzzy-c clustering, subtractive clustering, hybrid XOR-based clustering, and fuzzy relation-based clustering. Sekar and Sethuraman [28] suggested a technique for selecting components in web engineering that employs fuzzy ranking and rough sets to enhance the functionality of web applications. Tian et al [29] suggested a method for selecting components based on clustering and information entropy weighting.…”

Section: Selection Methods/approaches and Mcdm Techniquesmentioning

confidence: 99%

Software component selection methods and techniques: a systematic review

Nabot

2024

IJEECS

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<p>Software component selection is critical in software engineering due to its vital role in reducing software development cost and time. This study analyzes software component selection research studies on methodologies, criteria, and multi-criteria decision-making (MCDM) techniques. The key study findings are: first, comprehensive standardized criteria for software component selection are lacking, with ambiguous terminology used in research. Second, current ad hoc selection processes need streamlining to reduce time, cost, and effort. Thus, an integrated approach is required to aid decision-makers. The review suggests developing automated tools or decision support systems combining multiple criteria decision methods to improve selection accuracy and efficiency. Standardized criteria catalogs can also assist software developers in the evaluation. The findings highlight that despite extensive academic research, component selection in practice remains sub-optimal. By informing future research and tool development, this review can benefit practitioners to systematically select the most appropriate software components meeting software requirements.</p>

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Optimal component selection for rich internet applications in web engineering

Cited by 2 publications

References 9 publications

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

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

Software component selection methods and techniques: a systematic review

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