Inlämning av Examensarbete / Submission of Thesis

Umar Saeed; Ansur Mahmood Amjad MSE-2009-10, pp. 115. ING/School of Engineering, 2009.

The work

Författare / Author: Umar Saeed, Ansur Mahmood Amjad
chumarsaeed@yahoo.com, ansurjajja@gmail.com
Titel / Title: ISTQB: Black Box testing Strategies used in Financial Industry for Functional testing
Abstrakt Abstract:

Black box testing techniques are important to test the
functionality of the system without knowing its inner detail
which makes sure correct, consistent, complete and accurate
behavior or function of a system. Black box testing
strategies are used to test logical, data or behavioral
dependencies, to generate test data and quality of test cases
which have potential to guess more defects. Black box
testing strategies play pivotal role to detect possible defects
in system and can help in successful completion of system
according to functionality. The studies of five companies
regarding important black box testing strategies are
presented in this thesis. This study explores the black box
testing techniques which are present in literature and
practiced in industry as well. Interview studies are
conducted in companies of Pakistan providing solutions to
finance industry, which is an attempt to find the usage of
these techniques. The advantages and disadvantages of
identified Black box testing strategies are discussed, along
with it; the comparison of different techniques with respect
to most defect guessing, dependencies, sophistication, effort,
and cost is presented as well.

Ämnesord / Subject: Datavetenskap - Computer Science\Software Engineering

Nyckelord / Keywords: BBTS (black box testing strategies), BVA (boundary value analysis), EP (Equivalence Partitioning), DT (Decision Table), CT (Classification Tree), SD (State Diagram), UC (Use Case)

Publication info

Dokument id / Document id:
Program:/ Programme Masterprogram i Software engineering 120 p/Master´s program in Software engineering 120 p
Registreringsdatum / Date of registration: 08/28/2009
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Kennet Henningsson
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: master.pdf (3935 kB, öppnas i nytt fönster)