Life Cycle of Software Development Maintainability Attributes Model using Fuzzification: A Review
Software Development, Life Cycle of Software, software maintainability, fuzzy logic
Software Development goes through a number of phases. These phases together make a Life Cycle of Software Development. It is estimated that more that there are more than 100 billion lines of code in production in the world. As much as 80% of it is unstructured and not well documented. Maintenance can lessen these problems. Maintainability is the ability to keep the system up to date after deploy to the customer site. We studied a number of software maintainability measurement metrics and also new proposed techniques. In our research we focused on how to measure the software. After considering these factors we can conclude that how much software is maintainable This means that how the maintenance cost can be reduced and how much efforts will be required to reduce the cost. So we will use a fuzzy logic to implement these factors. We found that fuzzy logic can be used to model uncertainty for these factors. Fuzzy logic is a way to deal with reasoning that is approximate rather than precise. Then by fuzzy logic we measured the maintainability. In our research, we considered experimental data. First we applied these factors on data and then by fuzzy logic we measured the maintainability. This work based on Rule Base consists of number of rules. Rule structure is like “If this and/or If this then this.
"Life Cycle of Software Development Maintainability Attributes Model using Fuzzification: A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 4, page no.437 - 441, April-2020, Available :https://ijsdr.org/papers/IJSDR2004079.pdf
Volume 5
Issue 4,
April-2020
Pages : 437 - 441
Paper Reg. ID: IJSDR_192351
Published Paper Id: IJSDR2004079
Downloads: 000347221
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
