Open AccessProposed Metrics for Process Capability Analysis in Improving Software Quality: An Empirical Study
Author(s) -
Kiran Kumar Patnaik,
Pooja Jha
Publication year - 2016
Publication title -
international journal of software engineerung and technologies (ijset)
Language(s) - English
Resource type - Journals
ISSN - 2302-4038
DOI - 10.11591/ijset.v1i3.4578
Subject(s) - computer science , software quality , software metric , quality (philosophy) , goal driven software development process , software , software sizing , team software process , process (computing) , software development , verification and validation , personal software process , reliability engineering , software quality analyst , software quality control , software development process , software engineering , software construction , engineering , operations management , philosophy , operating system , epistemology , programming language
A software project faces its top expense on defect removal; thereby delaying the schedules. There has been increasing demand for high quality software. Here, high quality software means, delivering defect free software and meeting the predictable results within time and cost constraints. Software defect prediction strives to improve software quality and testing efficiency. The research work presented here is an empirical study and analyzes importance of different metrics used in the organization. The paper examines the impact of LSL and USL, known as organization baselines, on various projects and proposes four metrics for capability analysis metrics. These can prove beneficial for categorizing the process of software development. These metrics aim to improve the ongoing software development process and are helpful in determining the quality of these processes in terms of their specification limits. Also, the paper attempts to justify the probability of the values related to the data provided by normal distribution or Gaussian distribution.