12 citations · 56 across the 11 of their papers we have counts for
27 papers · 1 filter
Fault Injection in OpenAPI Specifications for Evaluating Black-Box Testing Effectiveness
Hamza Bin Mazhar, Yuqing Wang, Mika V. Mäntylä
OpenAPI specifications are the primary input for black-box testing tools in microservice systems (MSS), yet prior work shows these specifications are often incomplete, inconsistent…
Understanding LLMs in Title-Abstract Screening: From Disagreements to Recommendations
Mika Mäntylä, Patricia Matsubara, Katia Romero Felizardo +5
Several studies have examined the use of large language models (LLMs) for title-abstract screening in systematic reviews (SRs), reporting mixed accuracy. However, questions of reli…
Assessing REST API Test Generation Strategies with Log Coverage
Nana Reinikainen, Mika Mäntylä, Yuqing Wang
Assessing the effectiveness of REST API tests in black-box settings can be challenging due to the lack of access to source code coverage metrics and polyglot tech stack. We propose…
Token Interdependency Parsing (Tipping) -- Fast and Accurate Log Parsing
Shayan Hashemi, Mika Mäntylä
In the last decade, an impressive increase in software adaptions has led to a surge in log data production, making manual log analysis impractical and establishing the necessity fo…
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning
Yuqing Wang, Mika V. Mäntylä, Serge Demeyer +3
Microservice-based systems (MSS) may fail with various fault types. While existing AIOps methods excel at detecting abnormal traces and locating the responsible service(s), human e…
Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
Jesse Nyyssölä, Mika Mäntylä
Software log analysis can be laborious and time consuming. Time and labeled data are usually lacking in industrial settings. This paper studies unsupervised and time efficient meth…