Evaluation of Software Understandability using Software Matrices
Abstract & Details
Research Area
Computer science & Engineering
Keywords
Understandability
Rough set
Outlier
Spatial Complexity
Abstract
Understandability is one of the important characteristics of software quality, because it may influence the maintainability of the software. The cost and reuse of the software are also affected by understandability. In order to maintain the software, the programmers need to understand the source code. The understandability of the source code depends upon the psychological complexity of the software, and it requires cognitive abilities to understand the source code. The understandability of source code is get effected by so many factors, here we have taken different factors in an integrated view. In this, we have chosen a rough set approach to calculate the understandability based on outlier detection. Generally, the outlier is having an abnormal behavior, here we have taken that project has may be easily understandable or difficult to understand. Here we have taken a few factors, which affect understandability and bring forward an integrated view to determine understandability.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Apeksha Nayak | Roorkee College of Engineeering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Nayak, Apeksha (2019). Evaluation of Software Understandability using Software Matrices. International Journal of Advance Research and Innovative Ideas In Education, 5(3), 1755-1762.
MLA Style
Nayak, Apeksha. "Evaluation of Software Understandability using Software Matrices." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 3, 2019, pp. 1755-1762.
IEEE Style
Apeksha Nayak, "Evaluation of Software Understandability using Software Matrices," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 3, pp. 1755-1762, 2019.
Vancouver Style
Nayak Apeksha. Evaluation of Software Understandability using Software Matrices. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(3):1755-1762.
Harvard Style
Nayak, Apeksha (2019) 'Evaluation of Software Understandability using Software Matrices', International Journal of Advance Research and Innovative Ideas In Education, 5(3), pp. 1755-1762.
Chicago Style
Nayak, Apeksha. "Evaluation of Software Understandability using Software Matrices." International Journal of Advance Research and Innovative Ideas In Education 5, no. 3 (2019): 1755-1762.
Turabian Style
Nayak, Apeksha. "Evaluation of Software Understandability using Software Matrices." International Journal of Advance Research and Innovative Ideas In Education 5, no. 3 (2019): 1755-1762.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable