Issue |
ITM Web Conf.
Volume 9, 2017
The 2016 International Conference Applied Mathematics, Computational Science and Systems Engineering
|
|
---|---|---|
Article Number | 03009 | |
Number of page(s) | 8 | |
Section | Systems Engineering | |
DOI | https://doi.org/10.1051/itmconf/20170903009 | |
Published online | 09 January 2017 |
Metric-based method of software requirements correctness improvement
1 Danube Institute, National University “Odessa Maritime Academy”, 68600, Ukraine
2 Department of Mathematics & Engineering Science Hellenic Military Academy, 16673, Greece
3 Department of Computer Systems and Networks, National Space University named after N. E. Zhukovsky “KhAI”, 61070, Ukraine
* Corresponding author: svetlana397@yandex.ru
The work highlights the most important principles of software reliability management (SRM). The SRM concept construes a basis for developing a method of requirements correctness improvement. The method assumes that complicated requirements contain more actual and potential design faults/defects. The method applies a newer metric to evaluate the requirements complexity and double sorting technique evaluating the priority and complexity of a particular requirement. The method enables to improve requirements correctness due to identification of a higher number of defects with restricted resources. Practical application of the proposed method in the course of demands review assured a sensible technical and economic effect.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.