A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD

Although it has been more than four decades that the first components-based software development (CBSD) studies were conducted, there is still no standard method or tool for component selection which is widely accepted by the industry. The gulf between industry and academia contributes to the lack of an accepted tool. We conducted a mixed methods survey of nearly 100 people engaged in component-based software engineering practice or research to better understand the problems facing industry, how these needs could be addressed, and current best practices employed in component selection. We also sought to identify and prioritize quality criteria for component selection from an industry perspective. In response to the call for CBSD component selection tools to incorporate recent technical advances, we also explored the perceptions of professionals about AI-driven tools, present and envisioned.

Publication Details

Journal
ArXiv.org
Published
2025-04-18
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
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article

A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD

ArXiv.org
Software Engineering Techniques and Practices
article

A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD

article en

Abstract

Although it has been more than four decades that the first components-based software development (CBSD) studies were conducted, there is still no standard method or tool for component selection which is widely accepted by the industry. The gulf between industry and academia contributes to the lack of an accepted tool. We conducted a mixed methods survey of nearly 100 people engaged in component-based software engineering practice or research to better understand the problems facing industry, how these needs could be addressed, and current best practices employed in component selection. We also sought to identify and prioritize quality criteria for component selection from an industry perspective. In response to the call for CBSD component selection tools to incorporate recent technical advances, we also explored the perceptions of professionals about AI-driven tools, present and envisioned.

ArXiv.org
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Software Engineering Techniques and Practices
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A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD · ArXiv.org (2025) | TGRS Research Map | TGRS