Semi-Automatic Checklist Quality Assessment of Natural Language Requirements for Space Applications
| Autor: | Ariadne Maria Brito Rizzoni Carvalho, Anderson Rossanez |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Software development Software requirements specification 020207 software engineering 02 engineering and technology Software quality Software construction 0202 electrical engineering electronic engineering information engineering Software quality analyst Software quality management 020201 artificial intelligence & image processing Software requirements business Software engineering Software quality control |
| Zdroj: | LADC |
| Popis: | Problems with the specification of software requirements documents are a common cause of software defects. In the space applications domain, such defects are very costly, especially when detected after deployment in the field. It is imperative to ensure that software requirements are well written to avoid the introduction of these defects. The quality of software requirements is frequently assessed via checklists, based on standards for space application software, and on problems found in previous projects. Given the importance of quality assessment, and the fact that it is manually performed by domain experts, we propose to develop a semi-automatic, natural language processing tool, to diminish the reviewer's effort in the assessment, and to reduce errors in this process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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