Introduction to Software Testing

I

Introduction To Software Testing

Elements and Concepts – A brief overview

This document contains some basic concepts and definitions about software testing. It has been written for studying a part of the Software Engineering Project course at my University. It is composed by a summary of the intersection of more than 10 different sources, all of which are cited. If you feel that some contents of this publication belong to your intellectual property and it is not cited, please contact the author who is willing to correct any mistake.

The first part of the paper focuses on the definition of the most important key aspects of software testing. Then some information about input partitioning are given. What follows is a research about code coverage and two useful and famous tools, Control-flow coverage and Data-flow analysis. A complete example on using those tools is then given. The second half of the document also contains the definition of the most important software testing practices.

The goal of this tiny document is to clarify key terms and therefore become a base start for the reader to go in deep with the interested topics. Another goal is to give a simple but clear example about data flow analysis, as I realized that not all the people understand the examples around the Net.

About the author

dgraziotin

Dr. Daniel Graziotin is a senior researcher (Akademischer Rat) at the University of Stuttgart, Germany. His research interests include human, behavioral, and psychological aspects of empirical software engineering, studies of science, and open science. He is associate editor at the Journal of Open Research Software and academic editor at the Research Ideas and Outcomes (RIO) journal. Daniel was awarded an Alexander von Humboldt Fellowship for postdoctoral researchers in 2017, the European Design Award (bronze) in 2016, and the Data Journalism Award in 2015. He received his Ph.D. in computer science at the Free University of Bozen-Bolzano, Italy.

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About Author

dgraziotin

Dr. Daniel Graziotin is a senior researcher (Akademischer Rat) at the University of Stuttgart, Germany. His research interests include human, behavioral, and psychological aspects of empirical software engineering, studies of science, and open science. He is associate editor at the Journal of Open Research Software and academic editor at the Research Ideas and Outcomes (RIO) journal. Daniel was awarded an Alexander von Humboldt Fellowship for postdoctoral researchers in 2017, the European Design Award (bronze) in 2016, and the Data Journalism Award in 2015. He received his Ph.D. in computer science at the Free University of Bozen-Bolzano, Italy.