Bibliographic Details
| Title: |
An Empirical Study on the Impact of Automation on the Requirements Analysis Process. |
| Authors: |
Giuseppe Lami1, Robert Ferguson2 |
| Source: |
Journal of Computer Science & Technology (10009000). May2007, Vol. 22 Issue 3, p338-347. 10p. |
| Subjects: |
Computer software, Automation, Natural language processing, Computer software industry, Industrial engineering |
| Abstract: |
Abstract  Requirements analysis is an important phase in a software project. The analysis is often performed in an informal way by specialists who review documents looking for ambiguities, technical inconsistencies and incomplete parts. Automation is still far from being applied in requirements analyses, above all since natural languages are informal and thus difficult to treat automatically. There are only a few tools that can analyse texts. One of them, called QuARS, was developed by the Istituto di Scienza e Tecnologie dell'Informazione and can analyse texts in terms of ambiguity. This paper describes how QuARS was used in a formal empirical experiment to assess the impact in terms of effectiveness and efficacy of the automation in the requirements review process of a software company. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
