Inlämning av Examensarbete / Submission of Thesis

R.Sashin Vasudev; Ashok Reddy Vanga MCS-2008:12, pp. 36. TEK/avd. för interaktion och systemdesign, 2008.

The work

Författare / Author: R.Sashin Vasudev, Ashok Reddy Vanga
asrv06@student.bth.se, svra06@student.bth.se
Titel / Title: Accuracy of Software Reliability Prediction from Different Approaches
Abstrakt Abstract:

Many models have been proposed for software reliability prediction, but none of these models could capture a necessary amount of software characteristic. We have proposed a mixed approach using both analytical and data driven models for finding the accuracy in reliability prediction involving case study. This report includes qualitative research strategy. Data is collected from the case study conducted on three different companies. Based on the case study an analysis will be made on the approaches used by the companies and also by using some other data related to the organizations Software Quality Assurance (SQA) team. Out of the three organizations, the first two organizations used for the case study are working on reliability prediction and the third company is a growing company developing a product with less focus on quality. Data collection was by the means of interviewing an employee of the organization who leads a team and is in the managing position for at least last 2 years.

Ämnesord / Subject: Datavetenskap - Computer Science\General
Datavetenskap - Computer Science\Software Engineering
Nyckelord / Keywords: black box testing, white box testing, analytical model, data-driven model

Publication info

Dokument id / Document id:
Program:/ Programme Datavetenskapligt program/Computer Science
Registreringsdatum / Date of registration: 03/03/2008
Uppsatstyp / Type of thesis: D-Uppsats/Magister/Master

Context

Handledare / Supervisor: Mia Persson
mia.persson@bth.se
Examinator / Examiner: Guohua Bai
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: TEK/avd. för interaktion och systemdesign
S-372 25 Ronneby
+46 455 38 50 00
Anmärkningar / Comments:

svra06@student.bth.se