Early Test Effort Prediction using UML Diagrams

Author:

Sahoo Pulak,Mohanty J R

Abstract

<p>Software Testing is essential for delivering quality software products. Accurate test effort estimation is an important part of project planning. Prediction of test effort at early phases of Software Developmen Life Cycle enables managers to plan ahead for the testing phase. This increases the chances of the project meeting its timeline while achieving required quality. Unified Modeling Language is a widely-used standard for representing Object Oriented Systems. Use Case and Class Diagrams are two of the most important models of the system created during early phases of software development. This work proposed that the initial test effort is predicted early using Use Case Diagram during the requirement stage and is refined during design stage when Class Diagrams are available. The predicted test efforts in both stages are functions of parameters derived from Use Case and Class Diagrams. Estimations can be revised when rest of the UML diagrams are created.</p>

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Complexity Classification of Object-Oriented Projects Based on Class Model Information Using Quasi-Opposition Rao Algorithm-Based Neural Networks;Biologically Inspired Techniques in Many Criteria Decision Making;2022

2. Model-based Test Effort Estimator - a Case Study;2021 19th OITS International Conference on Information Technology (OCIT);2021-12

3. System Test Effort Estimation Using Class Model: A Case Study;Smart Intelligent Computing and Applications;2019-09-27

4. Test effort estimation in early stages using Use Case and Class models for web applications;International Journal of Knowledge-based and Intelligent Engineering Systems;2018-11-15

5. Complexity Metrics for Component-Based Software System;Advances in Intelligent Systems and Computing;2018-08-31

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