Mika Mäntylä

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Casper LasseniusAssociate Professor, Aalto UniversityVerified email at aalto.fi
Juha ItkonenPostdoc Researcher, Aalto UniversityVerified email at aalto.fi
Miikka KuutilaUniversity of OuluVerified email at oulu.fi
Vahid GarousiProfessor and Senior Consultant of Software Engineering, Queen’s University - Bahar Software Corp.Verified email at qub.ac.uk
Jari VanhanenAalto UniversityVerified email at aalto.fi
Maëlick ClaesPost-doctoral researcher, University of OuluVerified email at oulu.fi
Bram AdamsQueen's UniversityVerified email at queensu.ca
Timo O.A. LehtinenAcademy of Finland, Natural Sciences and Engineering Research UnitVerified email at aka.fi
Kai PetersenSoftware Engineering, Hochschule Flensburg, Germany / Blekinge Institute of Technology, SwedenVerified email at bth.se
Michael FeldererUniversity of Innsbruck, Austria; Blekinge Institute of Technology, SwedenVerified email at uibk.ac.at
Daniel GraziotinSenior Researcher (Akademischer Rat) at University of StuttgartVerified email at iste.uni-stuttgart.de
Päivi Raulamo-JurvanenUniversity Teacher, University of OuluVerified email at oulu.fi
Umar FarooqPostdoctoral Researcher, University of Oulu, FinlandVerified email at oulu.fi
Marco ZanoniPost-doc research fellow, Università degli Studi di Milano BicoccaVerified email at disco.unimib.it
Francesca Arcelli FontanaProfessore OrdinarioVerified email at disco.unimib.it
Emelie EngströmLund UniversityVerified email at cs.lth.se
Dietmar PfahlUniversity of Tartu, Estonia, and University of Calgary, CanadaVerified email at ut.ee
Giuseppe DestefanisBrunel University, LondonVerified email at brunel.ac.uk
Marco OrtuResearcher PhD, Department of Business and Economics, University of CagliariVerified email at unica.it
Burak TurhanProfessor, University of Oulu, FinlandVerified email at oulu.fi

Mika Mäntylä

Professor, University of Oulu, Finland

Verified email at oulu.fi - Homepage

Software Engineering Software Testing Code Smells Emotion Mining Sentiment Analysis


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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	332	2018
Benefits and Limitations of Automated Software Testing: Systematic Literature Review and Practitioner Survey DM Rafi, KRK Moses, K Petersen, MV Mäntylä	240	2012
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	211*	2003
Comparing and experimenting machine learning techniques for code smell detection FA Fontana, MV Mäntylä, M Zanoni, A Marino Empirical Software Engineering 21 (3), 1143-1191, 2016	202	2016
What types of defects are really discovered in code reviews? MV Mäntylä, C Lassenius IEEE Transactions on Software Engineering 35 (3), 430-448, 2008	202	2008
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	199	2019
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	188	2015
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	166	2014
Subjective evaluation of software evolvability using code smells: An empirical study MV Mäntylä, C Lassenius Empirical Software Engineering 11 (3), 395-431, 2006	164	2006
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	162	2015
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	150	2016
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	135	2016
Bad smells—humans as code critics MV Mäntylä, J Vanhanen, C Lassenius Proceedings of the International Conference on Software Maintenance (ICSM …, 2004	122	2004
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	109	2013
Defect detection efficiency: Test case based vs. exploratory testing J Itkonen, MV Mantyla, C Lassenius First International Symposium on Empirical Software Engineering and …, 2007	107	2007
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 (5), 1384-1425, 2015	102	2015
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	97	2013
Bad smells in software-a taxonomy and an empirical study M Mäntylä Helsinki University of Technology, 2003	97	2003
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	94	2009
A systematic literature review of literature reviews in software testing V Garousi, MV Mäntylä Information and Software Technology 80, 195-216, 2016	89	2016

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