Usage one of Reverse Engineering Application (Node.js Web) to Construct Software Engineering Documents

Naktal Moaid Edan ()

Technium, 2022, vol. 4, issue 1, 1-10

Abstract: In software engineering, documentation is considered the best way to distinguish the main functions of the software. The lack of software documentation may lead to consuming time and effort during the software design phase, which finally affects the quality of software. For instance, without proper documentation, the software maintainability index would never get a reasonable mark. The research has been progressive originally as a resilient concept, once the concept is proved to be developable in the Software Development Life Cycle (SDLC), the finishing product will be started to improve with satisfactory documentation. Also, software responsibility has caused complications, such as high costs of software repairs and inefficient process of knowledge transmission between developers. As a Software Reverse Engineering (SRE) method, this work uses a combination of an automatic class diagram creation tool with some manual tweaks, as well as source code analysis and comfortable interviews, to recover the product's design principles and requirement use cases. As a result, two documents will be produced: a Software Requirements Specification document and a Software Design Document

Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/technium/article/view/6381/2268 (application/pdf)
https://techniumscience.com/index.php/technium/article/view/6381 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tec:techni:v:4:y:2022:i:1:p:1-11

DOI: 10.47577/technium.v4i4.6381

Access Statistics for this article

Technium is currently edited by Scurtu Ionut Cristian

More articles in Technium from Technium Science
Bibliographic data for series maintained by Ana Maria Golita ().