Is It Possible to Use ChatGPT to Perform Measurements Using the COSMIC Method?
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| Publicado en: | Programming and Computer Software vol. 50, no. 8 (Dec 2024), p. 674 |
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| Publicado: |
Springer Nature B.V.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 3154524484 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 0361-7688 | ||
| 022 | |a 1608-3261 | ||
| 024 | 7 | |a 10.1134/S0361768824700695 |2 doi | |
| 035 | |a 3154524484 | ||
| 045 | 2 | |b d20241201 |b d20241231 | |
| 245 | 1 | |a Is It Possible to Use ChatGPT to Perform Measurements Using the COSMIC Method? | |
| 260 | |b Springer Nature B.V. |c Dec 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The process of developing software is intricate and time-consuming. Resource estimation is one of the most important responsibilities in software development. Since it is currently the only acceptable metric, the functional size of the program is used to generate estimating models in a widely accepted manner. On the other hand, functional size measurement takes time. The use of artificial intelligence (AI) to automate certain software development jobs has gained popularity in recent years. Software functional sizing and estimation is one area where artificial intelligence may be used. In this study, we investigate how to apply the concepts and guidelines of the COSMIC method to measurements using ChatGPT 4o, a large language model (LLM). To determine whether ChatGPT can perform COSMIC measurements, we discovered that ChatGPT could not reliably produce accurate findings. The primary shortcomings found in ChatGPT include its incapacity to accurately extract data movements, data groups, and functional users from the text. Because of this, ChatGPT’s measurements fall short of two essential requirements for measurement: accuracy and reproducibility. | |
| 610 | 4 | |a OpenAI | |
| 653 | |a Language | ||
| 653 | |a Machine learning | ||
| 653 | |a Software | ||
| 653 | |a Software development | ||
| 653 | |a Large language models | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Chatbots | ||
| 653 | |a Design | ||
| 653 | |a Methods | ||
| 653 | |a Estimation | ||
| 653 | |a Time measurement | ||
| 653 | |a Natural language | ||
| 773 | 0 | |t Programming and Computer Software |g vol. 50, no. 8 (Dec 2024), p. 674 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3154524484/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3154524484/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3154524484/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |