Testing database applications using coverage analysis and mutation analysis

Sarkar, Tanmoy

doi:10.31274/etd-180810-3283

DOI: 10.31274/etd-180810-3283

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Testing database applications using coverage analysis and mutation analysis

Tanmoy Sarkar¹

Abstract: I would like to dedicate this thesis to my parents Tapas Sarkar, Sikha Sarkar and my girlfriend Beas Roy, who were always there to support me to move forward. I would also like to thank my friends and family in USA and in India for their loving guidance and all sorts of assistance during the writing of this work.

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An Empirical Study on the Characteristics of Database Access Bugs in Java Applications

Liu,

Mondal,

Chen

2024

ACM Trans. Softw. Eng. Methodol.

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Database-backed applications rely on the database access code to interact with the underlying database management systems (DBMSs). Although many prior studies aim at database access issues like SQL anti-patterns or SQL code smells, there is a lack of study of database access bugs during the maintenance of database-backed applications. In this paper, we empirically investigate 423 database access bugs collected from seven large-scale Java open source applications that use relational database management systems (e.g., MySQL or PostgreSQL). We study the characteristics (e.g., occurrence and root causes) of the bugs by manually examining the bug reports and commit histories. We find that the number of reported database and non-database access bugs share a similar trend but their modified files in bug fixing commits are different. Additionally, we generalize categories of the root causes of database access bugs, containing five main categories (SQL queries, Schema, API, Configuration, SQL query result) and 25 unique root causes. We find that the bugs pertaining to SQL queries, Schema, and API cover 84.2% of database access bugs across all studied applications. In particular, SQL queries bug (54%) and API bug (38.7%) are the most frequent issues when using JDBC and Hibernate, respectively. Finally, we provide a discussion on the implications of our findings for developers and researchers.

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An Empirical Study on the Characteristics of Database Access Bugs in Java Applications

Liu,

Mondal,

Chen

2024

ACM Trans. Softw. Eng. Methodol.

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show abstract

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Testing database applications using coverage analysis and mutation analysis

Cited by 1 publication

References 69 publications

An Empirical Study on the Characteristics of Database Access Bugs in Java Applications

An Empirical Study on the Characteristics of Database Access Bugs in Java Applications

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