VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products
The global software industry is predominantly composed of micro, small, and medium-sized enterprises (MSMEs), highlighting the need for software quality management to ensure the proper functioning and quality of the software. This research focuses on the evaluation of the implementation of the ISO/I...
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IEEE
2024-01-01
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| author | Jezreel Mejia Victor Terron-Macias Mirna Munoz Miguel Terron-Hernandez Miguel Canseco-Perez |
| author_facet | Jezreel Mejia Victor Terron-Macias Mirna Munoz Miguel Terron-Hernandez Miguel Canseco-Perez |
| author_sort | Jezreel Mejia |
| collection | DOAJ |
| description | The global software industry is predominantly composed of micro, small, and medium-sized enterprises (MSMEs), highlighting the need for software quality management to ensure the proper functioning and quality of the software. This research focuses on the evaluation of the implementation of the ISO/IEC 29110 standard work products, which is a standard tailored by the ISO/IEC specifically for MSMEs, which improves the software development process by implementing two processes in its basic profile: Project Management (PM) and Software Implementation (SI). Despite this standard being tailored specifically for this type of enterprise, implementing ISO/IEC 29110 faces several challenges, such as a lack of knowledge and difficulties in adequately implementing the work products regarding the compliance of standard criteria, among others. To address these challenges, we introduce VSEST 29110, a web tool designed to evaluate the ISO/IEC 29110 standard implementation work products by leveraging Artificial Intelligence (AI) technologies, specifically the ChatGPT model, provide detailed feedback on compliance with standard criteria, offer suggestions for improvement based on ChatGPT analysis and streamline the implementation process for MSMEs. To achieve this, our research incorporates a systematic literature review and validation through a case study by document analysis, demonstrating VSEST 29110’s effectiveness in enhancing compliance and providing comprehensive feedback compared to auditor recommendations, which impacts 69.33% on average. |
| format | Article |
| id | doaj-art-0e56de8552964fb288d56a88d8ddb0db |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
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| spelling | doaj-art-0e56de8552964fb288d56a88d8ddb0db2024-12-25T00:01:45ZengIEEEIEEE Access2169-35362024-01-011212093512094810.1109/ACCESS.2024.344925210646341VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work ProductsJezreel Mejia0https://orcid.org/0000-0003-0292-9318Victor Terron-Macias1https://orcid.org/0000-0002-6092-1202Mirna Munoz2https://orcid.org/0000-0001-8537-2695Miguel Terron-Hernandez3Miguel Canseco-Perez4https://orcid.org/0000-0002-0700-5213Centro de Investigación en Matemáticas A.C., Unidad de Ingeniería de Software, Zacatecas, MexicoCentro de Investigación en Matemáticas A.C., Unidad de Ingeniería de Software, Zacatecas, MexicoCentro de Investigación en Matemáticas A.C., Unidad de Ingeniería de Software, Zacatecas, MexicoIngeniería en Mantenimiento Industrial, Universidad Tecnológica de Tlaxcala, Huamantla, MexicoIngeniería Agroindustrial, Universidad Politécnica de Chiapas, Suchiapa, MexicoThe global software industry is predominantly composed of micro, small, and medium-sized enterprises (MSMEs), highlighting the need for software quality management to ensure the proper functioning and quality of the software. This research focuses on the evaluation of the implementation of the ISO/IEC 29110 standard work products, which is a standard tailored by the ISO/IEC specifically for MSMEs, which improves the software development process by implementing two processes in its basic profile: Project Management (PM) and Software Implementation (SI). Despite this standard being tailored specifically for this type of enterprise, implementing ISO/IEC 29110 faces several challenges, such as a lack of knowledge and difficulties in adequately implementing the work products regarding the compliance of standard criteria, among others. To address these challenges, we introduce VSEST 29110, a web tool designed to evaluate the ISO/IEC 29110 standard implementation work products by leveraging Artificial Intelligence (AI) technologies, specifically the ChatGPT model, provide detailed feedback on compliance with standard criteria, offer suggestions for improvement based on ChatGPT analysis and streamline the implementation process for MSMEs. To achieve this, our research incorporates a systematic literature review and validation through a case study by document analysis, demonstrating VSEST 29110’s effectiveness in enhancing compliance and providing comprehensive feedback compared to auditor recommendations, which impacts 69.33% on average.https://ieeexplore.ieee.org/document/10646341/ISO/IEC 29110 standardLLMsChatGPTimplementation process improvement |
| spellingShingle | Jezreel Mejia Victor Terron-Macias Mirna Munoz Miguel Terron-Hernandez Miguel Canseco-Perez VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products IEEE Access ISO/IEC 29110 standard LLMs ChatGPT implementation process improvement |
| title | VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products |
| title_full | VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products |
| title_fullStr | VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products |
| title_full_unstemmed | VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products |
| title_short | VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products |
| title_sort | vsest 29110 tool using chatgpt to evaluate the implementation of the iso iec 29110 work products |
| topic | ISO/IEC 29110 standard LLMs ChatGPT implementation process improvement |
| url | https://ieeexplore.ieee.org/document/10646341/ |
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