Analiza učinkovitosti mutacij mutacijskega operatorja AOR : diplomsko delo

CETINA, JURE (author), Rožanc, Igor (mentor)

Diplomska naloga zajema področje testiranja programske opreme z izvajanjem mutacijske analize. Mutacijska analiza oziroma testiranje se uporablja za ustvarjanje novih ali za ovrednotenje že obstoječih programskih testov. Kakovost testov se določi na način, da se v program vstavijo vnaprej definirane napake. V kolikor testi v programu odkrijejo vse napake, so učinkoviti, v nasprotnem primeru pa so testi neučinkoviti in jih je potrebno ustrezno dopolniti. V diplomski nalogi je tako podrobneje predstavljen koncept mutacijskega testiranja, postopek generiranja in testiranja mutantov z uporabo sistema MuJava in eksperiment, ki se osredotoča na aritmetični mutacijski operator. Eksperiment naslavlja problem časovne zahtevnosti mutacijskega testiranja in s pomočjo analize učinkovitosti posameznih mutacij mutacijskega operatorja AOR predlaga možne rešitve na področju optimizacije postopka generiranja mutantov.

• Language: Slovenian
• Keywords: mutacijsko testiranje, MuJava, mutanti, mutacije, mutacijski operator, AOR, računalništvo, visokošolski strokovni študij, računalništvo in informatika, diplomske naloge
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Publisher: [J. Cetina]
• Year: 2015
• Number of pages: 123 str.
• PID: 20.500.12556/RUL-30581
• COBISS.SI-ID: 1536250563
• Publication date in RUL: 19.02.2015

Licences

• License: CC BY-SA 2.5 SI, Creative Commons Attribution-ShareAlike 2.5 Slovenia
• Link: https://creativecommons.org/licenses/by-sa/2.5/si/deed.en
• Description: You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

• Language: English
• Title: The efficency analysis of AOR mutation operator mutations

Abstract

The thesis covers the field of software testing with the use of mutation testing. Mutation testing or mutation analysis is used to create new software tests or to evaluate the efficiency of preexisting tests. The quality of a given test is determined by injecting predefined faults into a program's source code. If the test detects faults in the program it is considered to be adequate. In contrast, if the test does not detect any inappropriate behavior it is considered to be inadequate and must therefore be adjusted. The thesis describes the concept of mutation testing in detail, demonstrates the process of generating and testing mutants with the use of the mutation testing system called MuJava and carries out an experiment that focuses on the arithmetic mutation operator. The experiment addresses the problem of runtime complexity of mutation testing and proposes possible optimization solutions in the process of generating mutants. The solutions are based on the analysis that determines the efficiency of individual mutations that are applied as part of the AOR mutation operator.

• Keywords: mutation testing, MuJava, mutants, mutations, mutation operator, AOR, computer science, computer and information science, diploma