Relationship between Quality Assurance and Productivity in Software Companies
Volume 12 Issue 2 2018
Download| Author(s): | Syed Mehmood Raza Naqvi |
|---|---|
| Abstract | Software metrics are playing a gradually more important role in software development project management, with the need to efficiently control the exclusive investment in software development of paramount apprehension. The idea following selected the most informative separation of features from a pool of accessible, cost drivers stems from the hypothesis that reducing the dimensionality of data sets will appreciably minimize the complexity and time required to reach to an estimation using a particular modeling method. Research examining the estimation of software development effort has been particularly extensive. In this work, regression analysis has been used almost exclusively to derive equations for predicting software process effort. This approach, whilst useful in some cases, also suffers from a number of limitations in relation to data set characteristics. In an attempt to overcome some of these problems, some recent studies have adopted less common quality assurance methods, such as neural networks, fuzzy logic models and case-based reasoning. In this paper some consideration is given to the use of neural networks and fuzzy models in terms of their appropriateness for the task of effort estimation. A comparison of SQA is also made with specific reference to statistical modeling and to point analysis, a popular formal method for estimating size and development effort. |
| Keywords | Software Quality Assurance & Development, modeling, regression. |
| Year | 2018 |
| Volume | 12 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/12.2/3.pdf | Page | 13-22 |