Quality evaluation of test oracles using mutation

• Grant number: 14/09629-1
• Support Opportunities: Scholarships in Brazil - Master
• Start date: August 01, 2014
• End date: July 31, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Márcio Eduardo Delamaro
• Grantee: Ana Claudia Maciel
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

In software development, product quality is directly related to the quality of the development process. Therefore, testing activities performed by methods, techniques and tools are urgently required to improve productivity, quality and reduce costs in software development. The mutation test has high efficacy in the detection of defects and is quite flexible in its application and can be used in many different types of artifacts like models or executable programs. On the automation of tests, the oracles are essential. Oracle corresponds to a mechanism(program, process or data) indicating whether the output obtained for the test case is correct. This master's project aims to use the idea of mutation to create alternative implementations of the oracle procedure and thus to assess their quality. Also aims to build a tool for developing new mutation operators for oracles.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MACIEL, ANA CLAUDIA; OLIVEIRA, RAFAEL; DELAMARO, MARCIO; KAJKOMATTSSON, M; ELLINGSEN, P; MARESCA, P. Quality Evaluation of Test Oracles Using Mutation. THIRD INTERNATIONAL CONFERENCE ON ADVANCES AND TRENDS IN SOFTWARE ENGINEERING (SOFTENG 2017), v. N/A, p. 6-pg., 2017-01-01. (14/09629-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MACIEL, Ana Claudia. Quality evaluation of test oracles using mutation. 2017. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.