Mika Mäntylä

Mika Mäntylä

Oulun yliopisto

H-index: 44

Europe-Finland

About Mika Mäntylä

Mika Mäntylä, With an exceptional h-index of 44 and a recent h-index of 33 (since 2020), a distinguished researcher at Oulun yliopisto, specializes in the field of Software Testing, Software Maintenance, Software Operations, Software Quality, Grey Literature.

His recent articles reflect a diverse array of research interests and contributions to the field:

OneLog: towards end-to-end software log anomaly detection

The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews

Revealing complexities when adult readers engage in the credibility evaluation of social media posts

Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap

Assessing credibility factors of short-form social media posts: A crowdsourced online experiment

PENTACET data-23 Million Contextual Code Comments and 250,000 SATD comments

PENTACET data--23 Million Contextual Code Comments and 500,000 SATD comments

Efficiency of Unsupervised Anomaly Detection Methods on Software Logs

Mika Mäntylä Information

University

Position

Professor Finland

Citations(all)

8086

Citations(since 2020)

5418

Cited By

4686

hIndex(all)

44

hIndex(since 2020)

33

i10Index(all)

87

i10Index(since 2020)

74

Email

University Profile Page

Oulun yliopisto

Google Scholar

View Google Scholar Profile

Mika Mäntylä Skills & Research Interests

Software Testing

Software Maintenance

Software Operations

Software Quality

Grey Literature

Top articles of Mika Mäntylä

Title

Journal

Author(s)

Publication Date

OneLog: towards end-to-end software log anomaly detection

Automated Software Engineering

Shayan Hashemi

Mika Mäntylä

2024/11

The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews

arXiv preprint arXiv:2404.15667

Aleksi Huotala

Miikka Kuutila

Paul Ralph

Mika Mäntylä

2024/4/24

Revealing complexities when adult readers engage in the credibility evaluation of social media posts

Computers in Human Behavior

Miikka Kuutila

Carita Kiili

Reijo Kupiainen

Eetu Huusko

Junhao Li

...

2024/2/1

Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap

Software Quality Journal

Leevi Rantala

Mika Mäntylä

Valentina Lenarduzzi

2023/11/16

Assessing credibility factors of short-form social media posts: A crowdsourced online experiment

Junhao Li

Miikka Kuutila

Eetu Huusko

Nimantha Kariyakarawana

Marko Savic

...

2023/9/20

PENTACET data-23 Million Contextual Code Comments and 250,000 SATD comments

Murali Sridharan

Leevi Rantala

Mika Mäntylä

2023/5/15

PENTACET data--23 Million Contextual Code Comments and 500,000 SATD comments

arXiv preprint arXiv:2303.14029

Murali Sridharan

Leevi Rantala

Mika Mäntylä

2023/3/24

Efficiency of Unsupervised Anomaly Detection Methods on Software Logs

arXiv preprint arXiv:2312.01934

Jesse Nyyssölä

Mika Mäntylä

2023/12/4

It is an online platform and not the real world, I don’t care much: Investigating Twitter Profile Credibility With an Online Machine Learning-Based Tool

Junhao Li

Ville Paananen

Sharadhi Alape Suryanarayana

Eetu Huusko

Miikka Kuutila

...

2023/3/19

LogLead--Fast and Integrated Log Loader, Enhancer, and Anomaly Detector

arXiv preprint arXiv:2311.11809

Mika Mäntylä

Yuqing Wang

Jesse Nyyssölä

2023/11/20

Win GUI Crawler: A tool prototype for desktop GUI image and metadata collection

Marko Savic

Mika Mäntylä

Maëlick Claes

2022/4/4

Sialog: detecting anomalies in software execution logs using the siamese network

Automated Software Engineering

Shayan Hashemi

Mika Mäntylä

2022/11

Pinpointing anomaly events in logs from stability testing–n-grams vs. deep-learning

Mika Mäntylä

Martín Varela

Shayan Hashemi

2022/4/4

How to configure masked event anomaly detection on software logs?

Jesse Nyyssölä

Mika Mäntylä

Martín Varela

2022/10/3

Introduction to the Special Issue on: Grey Literature and Multivocal Literature Reviews (MLRs) in software engineering

Vahid Garousi

Austen Rainer

Michael Felderer

Mika V Mäntylä

2022/1/1

Test automation maturity improves product quality—Quantitative study of open source projects using continuous integration

Journal of Systems and Software

Yuqing Wang

Mika V Mäntylä

Zihao Liu

Jouni Markkula

2022/6/1

SoCCMiner: a source code-comments and comment-context miner

Murali Sridharan

Mika Mäntylä

Maëlick Claes

Leevi Rantala

2022/5/23

Improving test automation maturity: A multivocal literature review

Yuqing Wang

Mika V Mäntylä

Zihao Liu

Jouni Markkula

Päivi Raulamo‐jurvanen

2022/5

Detecting anomalies in software execution logs with siamese network

arXiv preprint arXiv:2102.01452

Shayan Hashemi

Mika Mäntylä

2021/2/2

Individual differences limit predicting well-being and productivity using software repositories: a longitudinal industrial study

Empirical Software Engineering

Miikka Kuutila

Mika Mäntylä

Maëlick Claes

Marko Elovainio

Bram Adams

2021/9

See List of Professors in Mika Mäntylä University(Oulun yliopisto)

Co-Authors

H-index: 62
Bram Adams

Bram Adams

Queen's University

H-index: 48
Casper Lassenius

Casper Lassenius

Aalto-yliopisto

H-index: 46
Vahid Garousi

Vahid Garousi

Queen's University Belfast

H-index: 45
Kai Petersen

Kai Petersen

Blekinge Tekniska Högskola

H-index: 43
Michael Felderer

Michael Felderer

Universität Innsbruck

academic-engine