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Mika Mäntylä
Mika Mäntylä
Professor, University of Helsinki / University of Oulu, Finland
Bestätigte E-Mail-Adresse bei helsinki.fi - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The evolution of sentiment analysis—A review of research topics, venues, and top cited papers
MV Mäntylä, D Graziotin, M Kuutila
Computer Science Review 27, 16-32, 2018
9102018
Guidelines for including grey literature and conducting multivocal literature reviews in software engineering
V Garousi, M Felderer, MV Mäntylä
Information and software technology 106, 101-121, 2019
8992019
Comparing and experimenting machine learning techniques for code smell detection
F Arcelli Fontana, MV Mäntylä, M Zanoni, A Marino
Empirical Software Engineering 21, 1143-1191, 2016
5162016
Benefits and Limitations of Automated Software Testing: Systematic Literature Review and Practitioner Survey
DM Rafi, KRK Moses, K Petersen, MV Mäntylä
4162012
Using metrics in Agile and Lean Software Development–A systematic literature review of industrial studies
E Kupiainen, MV Mäntylä, J Itkonen
Information and software technology 62, 143-163, 2015
3502015
The need for multivocal literature reviews in software engineering: complementing systematic literature reviews with grey literature
V Garousi, M Felderer, MV Mäntylä
Proceedings of the 20th international conference on evaluation and …, 2016
3092016
What types of defects are really discovered in code reviews?
MV Mäntylä, C Lassenius
IEEE Transactions on Software Engineering 35 (3), 430-448, 2008
3032008
A taxonomy and an initial empirical study of bad smells in code
M Mika, J Vanhanen, C Lassenius
Proceedings of the International Conference on Software Maintenance (ICSM …, 2003
280*2003
When and what to automate in software testing? A multi-vocal literature review
V Garousi, MV Mäntylä
Information and Software Technology 76, 92-117, 2016
2662016
The highways and country roads to continuous deployment
M Leppänen, S Mäkinen, M Pagels, VP Eloranta, J Itkonen, MV Mäntylä, ...
Ieee software 32 (2), 64-72, 2015
2562015
Perceived Causes of Software Project Failures–An Analysis of their Relationships
TOA Lehtinen, MV Mäntylä, J Vanhanen, J Itkonen, C Lassenius
Information and Software Technology 56 (6), 623-643, 2014
2552014
Subjective evaluation of software evolvability using code smells: An empirical study
MV Mäntylä, C Lassenius
Empirical Software Engineering 11, 395-431, 2006
2302006
Code smell detection: Towards a machine learning-based approach
FA Fontana, M Zanoni, A Marino, MV Mäntylä
2013 IEEE international conference on software maintenance, 396-399, 2013
2182013
A systematic literature review of literature reviews in software testing
V Garousi, MV Mäntylä
Information and Software Technology 80, 195-216, 2016
2012016
Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?
M Mäntylä, B Adams, G Destefanis, D Graziotin, M Ortu
Proceedings of the 13th international conference on mining software …, 2016
1672016
Bad smells—humans as code critics
MV Mäntylä, J Vanhanen, C Lassenius
Proceedings of the International Conference on Software Maintenance (ICSM …, 2004
1622004
The Role of the Tester's Knowledge in Exploratory Software Testing
J Itkonen, MV Mäntylä, C Lassenius
IEEE Transactions on Software Engineering 39 (3), 986–1003, 2013
1612013
On rapid releases and software testing: a case study and a semi-systematic literature review
MV Mäntylä, B Adams, F Khomh, E Engström, K Petersen
Empirical Software Engineering 20, 1384-1425, 2015
1542015
How do testers do it? An exploratory study on manual testing practices
J Itkonen, MV Mantyla, C Lassenius
2009 3rd International symposium on empirical software engineering and …, 2009
1372009
Defect detection efficiency: Test case based vs. exploratory testing
J Itkonen, MV Mantyla, C Lassenius
First International Symposium on Empirical Software Engineering and …, 2007
1362007
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