Analiza učinkovitosti mutacij mutacijskega operatorja AOR

CETINA, JURE (avtor), 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.

• Jezik: Slovenski jezik
• Ključne besede: mutacijsko testiranje, MuJava, mutanti, mutacije, mutacijski operator, AOR
• Vrsta gradiva: Diplomsko delo/naloga
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Leto izida: 2015
• PID: 20.500.12556/RUL-30581
• Datum objave v RUL: 19.02.2015

Sekundarni jezik

• Jezik: Angleški jezik
• Naslov: The efficency analysis of AOR mutation operator mutations

Izvleček

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.

• Ključne besede: mutation testing, MuJava, mutants, mutations, mutation operator, AOR