Identifying the Reusable Components from Component-Based System: Proposed Metrics and Model

Padhy, Neelamadhab; Panigrahi, Rasmita; Satapathy, Suresh Chandra

doi:10.1007/978-981-13-3338-5_9

Cited by 23 publications

(5 citation statements)

References 15 publications

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“…The architecture tiers include the component requirements and selection tier, the query and decision tier, the application logic tier, and the component cluster tier. Padhy et al [30] presented a component selection approach by creating a reusability ❒ ISSN: 2502-4752 matrix that outlines the selection criteria for different classes of components. Mehlawat et al [13] have presented a hybrid framework named TOPSIS, which combines various software component selection and evaluation techniques previously applied in different contexts [31].…”

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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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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“…. Padhy et al (2019) Introduced component selection criteria by drawing a reusability matrix for all the classes of components depending on reusability features 53 . Gusev, Alexander, Dmitry Ilin, and Evgeny Nikulchev (2020) introduced a swarm intelligence approach by constructing a mathematical model using the artificial bee colony algorithm to select a set of software components.…”

Section: Software Component Selection Methods/approachesmentioning

confidence: 99%

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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“…Numerous approaches have been proposed for component retrievals (e.g., [ 29 , 30 ]) that work on the modified forms of keyword-based and signature-matching techniques for component retrieval. In the light of research, besides our tool, other tools have been developed (e.g., [ 31 ]) to model software development. However, the drawback of these tools is that it employs few component features as shown in Table 2 .…”

Section: Related Workmentioning

confidence: 99%

“…However, the drawback of these tools is that it employs few component features as shown in Table 2 . For example, CodeBroker tool [ 31 ] utilizes both signature matching and free text techniques. Based on user comments that explain the intended functionality, this tool finds the relevant match.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Platform for Software Component Mining and Retrieval

Bibi

Rana

Maqbool

et al. 2023

Sensors

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The development of robotic applications necessitates the availability of useful, adaptable, and accessible programming frameworks. Robotic, IoT, and sensor-based systems open up new possibilities for the development of innovative applications, taking advantage of existing and new technologies. Despite much progress, the development of these applications remains a complex, time-consuming, and demanding activity. Development of these applications requires wide utilization of software components. In this paper, we propose a platform that efficiently searches and recommends code components for reuse. To locate and rank the source code snippets, our approach uses a machine learning approach to train the schema. Our platform uses trained schema to rank code snippets in the top k results. This platform facilitates the process of reuse by recommending suitable components for a given query. The platform provides a user-friendly interface where developers can enter queries (specifications) for code search. The evaluation shows that our platform effectively ranks the source code snippets and outperforms existing baselines. A survey is also conducted to affirm the viability of the proposed methodology.

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Identifying the Reusable Components from Component-Based System: Proposed Metrics and Model

Cited by 23 publications

References 15 publications

Software component selection methods and techniques: a systematic review

Software component selection methods and techniques: a systematic review

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

An Intelligent Platform for Software Component Mining and Retrieval

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