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ORCIDMika Mäntylä
Mika V. Mäntylä – Mika Viking Mäntylä
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- affiliation: University of Oulu, Department of Information Processing Science, Finland
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2020 – today
- 2023
[c62]Junhao Li
, Ville Paananen, Sharadhi Alape Suryanarayana, Eetu Huusko, Miikka Kuutila, Mika Mäntylä, Simo Hosio:
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. CHIIR 2023: 117-127- [i34]Miikka Kuutila, Carita Kiili, Reijo Kupiainen, Eetu Huusko, Junhao Li, Simo Hosio, Mika Mäntylä, Kristian Kiili:
Adult readers evaluating the credibility of social media posts: Prior belief consistency and source's expertise matter most. CoRR abs/2303.09656 (2023) - [i33]Murali Sridharan, Leevi Rantala, Mika Mäntylä:
PENTACET data - 23 Million Contextual Code Comments and 500, 000 SATD comments. CoRR abs/2303.14029 (2023) - 2022
- [j38]Shayan Hashemi, Mika Mäntylä:
SiaLog: detecting anomalies in software execution logs using the siamese network. Autom. Softw. Eng. 29(2): 61 (2022) - [j37]Vahid Garousi, Austen Rainer, Michael Felderer, Mika V. Mäntylä:
Introduction to the Special Issue on: Grey Literature and Multivocal Literature Reviews (MLRs) in software engineering. Inf. Softw. Technol. 141: 106697 (2022) - [j36]Yuqing Wang, Mika V. Mäntylä, Zihao Liu, Jouni Markkula:
Test automation maturity improves product quality - Quantitative study of open source projects using continuous integration. J. Syst. Softw. 188: 111259 (2022) - [j35]Yuqing Wang, Mika V. Mäntylä, Zihao Liu, Jouni Markkula, Päivi Raulamo-Jurvanen:
Improving test automation maturity: A multivocal literature review. Softw. Test. Verification Reliab. 32(3) (2022) - [c61]Jesse Nyyssölä, Mika Mäntylä, Martín Varela:
How to Configure Masked Event Anomaly Detection on Software Logs? ICSME 2022: 414-418 - [c60]Marko Savic, Mika Mäntylä, Maëlick Claes:
Win GUI Crawler: A tool prototype for desktop GUI image and metadata collection. ICST Workshops 2022: 223-228 - [c59]Mika Mäntylä, Martín Varela, Shayan Hashemi:
Pinpointing Anomaly Events in Logs from Stability Testing - N-Grams vs. Deep-Learning. ICST Workshops 2022: 285-292 - [c58]Murali Sridharan, Mika Mäntylä, Maëlick Claes, Leevi Rantala:
SoCCMiner: A Source Code-Comments and Comment-Context Miner. MSR 2022: 242-246 - [i32]Yuqing Wang, Mika Mäntylä, Zihao Liu, Jouni Markkula:
Test Automation Maturity Improves Product Quality - Quantitative Study of Open Source Projects Using Continuous Integration. CoRR abs/2202.04068 (2022) - [i31]Yuqing Wang, Mika V. Mäntylä, Zihao Liu, Jouni Markkula, Päivi Raulamo-Jurvanen:
Improving Test Automation Maturity: a Multivocal Literature Review. CoRR abs/2202.09076 (2022) - [i30]Mika Mäntylä, Martín Varela, Shayan Hashemi:
Pinpointing Anomaly Events in Logs from Stability Testing - N-Grams vs. Deep-Learning. CoRR abs/2202.09214 (2022) - [i29]Jesse Nyyssölä, Mika Mäntylä, Martín Varela:
How to Configure Masked Event Anomaly Detection on Software Logs? CoRR abs/2208.01991 (2022) - 2021
- [j34]Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Individual differences limit predicting well-being and productivity using software repositories: a longitudinal industrial study. Empir. Softw. Eng. 26(5): 88 (2021) - [j33]Miikka Kuutila, Mika V. Mäntylä, Umar Farooq, Maëlick Claes:
What Do We Know About Time Pressure in Software Development? IEEE Softw. 38(5): 32-38 (2021) - [c57]Murali Sridharan, Mika Mäntylä, Leevi Rantala, Maëlick Claes:
Data Balancing Improves Self-Admitted Technical Debt Detection. MSR 2021: 358-368 - [i28]Shayan Hashemi, Mika Mäntylä:
Detecting Anomalies in Software Execution Logs with Siamese Network. CoRR abs/2102.01452 (2021) - [i27]Murali Sridharan, Mika Mäntylä, Leevi Rantala, Maëlick Claes:
Data Balancing Improves Self-Admitted Technical Debt Detection. CoRR abs/2103.13165 (2021) - [i26]Shayan Hashemi, Mika Mäntylä:
OneLog: Towards End-to-End Training in Software Log Anomaly Detection. CoRR abs/2104.07324 (2021) - [i25]Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Individual Differences Limit Predicting Well-being and Productivity Using Software Repositories: A Longitudinal Industrial Study. CoRR abs/2104.13713 (2021) - 2020
- [j32]Miikka Kuutila, Mika Mäntylä, Umar Farooq, Maëlick Claes:
Time pressure in software engineering: A systematic review. Inf. Softw. Technol. 121: 106257 (2020) - [j31]Leevi Rantala, Mika Mäntylä:
Predicting technical debt from commit contents: reproduction and extension with automated feature selection. Softw. Qual. J. 28(4): 1551-1579 (2020) - [c56]Leevi Rantala, Mika Mäntylä, David Lo:
Prevalence, Contents and Automatic Detection of KL-SATD. SEAA 2020: 385-388 - [c55]Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes:
Chat activity is a better predictor than chat sentiment on software developers productivity. ICSE (Workshops) 2020: 553-556 - [c54]Yuqing Wang, Mika V. Mäntylä, Serge Demeyer, Kristian Wiklund, Sigrid Eldh, Tatu Kairi:
Software Test Automation Maturity: A Survey of the State of the Practice. ICSOFT 2020: 27-38 - [c53]Yuqing Wang, Maaret Pyhäjärvi, Mika V. Mäntylä:
Test Automation Process Improvement in a DevOps Team: Experience Report. ICST Workshops 2020: 314-321 - [c52]Maëlick Claes, Mika V. Mäntylä:
20-MAD: 20 Years of Issues and Commits of Mozilla and Apache Development. MSR 2020: 503-507 - [p1]Vahid Garousi, Michael Felderer, Mika V. Mäntylä, Austen Rainer:
Benefitting from the Grey Literature in Software Engineering Research. Contemporary Empirical Methods in Software Engineering 2020: 385-413 - [i24]Maëlick Claes, Mika Mäntylä:
20-MAD - 20 Years of Issues and Commits of Mozilla and Apache Development. CoRR abs/2003.14015 (2020) - [i23]Yuqing Wang, Maaret Pyhäjärvi, Mika V. Mäntylä:
Test Automation Process Improvement in a DevOpsTeam: Experience Report. CoRR abs/2004.06381 (2020) - [i22]Yuqing Wang, Mika V. Mäntylä, Serge Demeyer, Kristian Wiklund, Sigrid Eldh, Tatu Kairi:
Software Test Automation Maturity - A Survey of the State of the Practice. CoRR abs/2004.09210 (2020) - [i21]Miikka Kuutila, Mika Mäntylä, Maëlick Claes:
Chat activity is a better predictor than chat sentiment on software developers productivity. CoRR abs/2004.09786 (2020) - [i20]Leevi Rantala, Mika Mäntylä, David Lo:
Prevalence, Contents and Automatic Detection of KL-SATD. CoRR abs/2008.05159 (2020)
2010 – 2019
- 2019
- [j30]Pilar Rodríguez, Mika Mäntylä, Markku Oivo, Lucy Ellen Lwakatare, Pertti Seppänen, Pasi Kuvaja:
Chapter Four - Advances in Using Agile and Lean Processes for Software Development. Adv. Comput. 113: 135-224 (2019) - [j29]Vahid Garousi, Dietmar Pfahl, João M. Fernandes, Michael Felderer, Mika V. Mäntylä, David C. Shepherd, Andrea Arcuri, Ahmet Coskunçay, Bedir Tekinerdogan:
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects. Empir. Softw. Eng. 24(4): 2540-2602 (2019) - [j28]Vahid Garousi, Michael Felderer, Mika V. Mäntylä:
Guidelines for including grey literature and conducting multivocal literature reviews in software engineering. Inf. Softw. Technol. 106: 101-121 (2019) - [c51]Päivi Raulamo-Jurvanen, Simo Hosio, Mika V. Mäntylä:
Practitioner Evaluations on Software Testing Tools. EASE 2019: 57-66 - [c50]Yuqing Wang, Mika Mäntylä, Sigrid Eldh, Jouni Markkula, Kristian Wiklund, Tatu Kairi, Päivi Raulamo-Jurvanen, Antti Haukinen:
A Self-assessment Instrument for Assessing Test Automation Maturity. EASE 2019: 145-154 - [c49]Päivi Raulamo-Jurvanen, Simo Hosio, Mika V. Mäntylä:
Applying Surveys and Interviews in Software Test Tool Evaluation. PROFES 2019: 20-36 - [i19]Miikka Kuutila, Mika Mäntylä, Umar Farooq, Maëlick Claes:
Time Pressure in Software Engineering: A Systematic Literature Review. CoRR abs/1901.05771 (2019) - [i18]Yuqing Wang, Mika Mäntylä, Sigrid Eldh, Jouni Markkula, Kristian Wiklund, Tatu Kairi, Päivi Raulamo-Jurvanen, Antti Haukinen:
A self-assessment Instrument for assessing test automation maturity. CoRR abs/1904.05816 (2019) - [i17]Mika Mäntylä, Vahid Garousi:
Citations in Software Engineering - Paper-related, Journal-related, and Author-related Factors. CoRR abs/1908.04122 (2019) - [i16]Vahid Garousi, Michael Felderer, Mika V. Mäntylä, Austen Rainer:
Benefitting from the Grey Literature in Software Engineering Research. CoRR abs/1911.12038 (2019) - 2018
- [j27]Mika V. Mäntylä, Daniel Graziotin, Miikka Kuutila:
The evolution of sentiment analysis - A review of research topics, venues, and top cited papers. Comput. Sci. Rev. 27: 16-32 (2018) - [j26]Seyedrebvar Hosseini, Burak Turhan, Mika Mäntylä:
A benchmark study on the effectiveness of search-based data selection and feature selection for cross project defect prediction. Inf. Softw. Technol. 95: 296-312 (2018) - [j25]Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test prioritization in continuous integration environments. J. Syst. Softw. 146: 80-98 (2018) - [c48]Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Using experience sampling to link software repositories with emotions and work well-being. ESEM 2018: 29:1-29:10 - [c47]Mika V. Mäntylä, Maëlick Claes, Umar Farooq:
Measuring LDA topic stability from clusters of replicated runs. ESEM 2018: 49:1-49:4 - [c46]Maëlick Claes, Mika Mäntylä, Umar Farooq:
On the use of emoticons in open source software development. ESEM 2018: 50:1-50:4 - [c45]Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, Marko Elovainio:
Daily questionnaire to assess self-reported well-being during a software development project. SEmotion@ICSE 2018: 39-43 - [c44]Maëlick Claes, Mika V. Mäntylä, Miikka Kuutila, Bram Adams:
Do programmers work at night or during the weekend? ICSE 2018: 705-715 - [c43]Mika V. Mäntylä, Fabio Calefato, Maëlick Claes:
Natural language or not (NLON): a package for software engineering text analysis pipeline. MSR 2018: 387-391 - [c42]Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Umar Farooq:
Towards automatically identifying paid open source developers. MSR 2018: 437-441 - [c41]Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Case Prioritization Using Test Similarities. PROFES 2018: 243-259 - [i15]Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Bram Adams:
Do Programmers Work at Night or During the Weekend? CoRR abs/1802.05084 (2018) - [i14]Mika V. Mäntylä, Fabio Calefato, Maëlick Claes:
Natural Language or Not (NLoN) - A Package for Software Engineering Text Analysis Pipeline. CoRR abs/1803.07292 (2018) - [i13]Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Umar Farooq:
Towards Identifying Paid Open Source Developers - A Case Study with Mozilla Developers. CoRR abs/1804.02153 (2018) - [i12]Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Using Experience Sampling to link Software Repositories with Emotions and Work Well-Being. CoRR abs/1808.05409 (2018) - [i11]Mika Mäntylä, Maëlick Claes, Umar Farooq:
Measuring LDA Topic Stability from Clusters of Replicated Runs. CoRR abs/1808.08098 (2018) - [i10]Maëlick Claes, Mika Mäntylä, Umar Farooq:
On the Use of Emoticons in Open Source Software Development. CoRR abs/1808.10639 (2018) - [i9]Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Case Prioritization Using Test Similarities. CoRR abs/1809.00138 (2018) - [i8]Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Prioritization in Continuous Integration Environments. CoRR abs/1809.00143 (2018) - 2017
- [j24]Mika V. Mäntylä, Magne Jørgensen, Paul Ralph, Hakan Erdogmus:
Guest editorial for special section on success and failure in software engineering. Empir. Softw. Eng. 22(5): 2281-2297 (2017) - [j23]Chu Luo, Miikka Kuutila, Simon Klakegg, Denzil Ferreira, Huber Flores, Jorge Gonçalves, Mika Mäntylä, Vassilis Kostakos:
TestAWARE: A Laboratory-Oriented Testing Tool for Mobile Context-Aware Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 80:1-80:29 (2017) - [j22]Hadi Hemmati, Zhihan Fang, Mika V. Mäntylä, Bram Adams:
Prioritizing manual test cases in rapid release environments. Softw. Test. Verification Reliab. 27(6) (2017) - [c40]Päivi Raulamo-Jurvanen, Mika Mäntylä, Vahid Garousi:
Choosing the Right Test Automation Tool: a Grey Literature Review of Practitioner Sources. EASE 2017: 21-30 - [c39]Vahid Garousi, Michael Felderer, João M. Fernandes, Dietmar Pfahl, Mika V. Mäntylä:
Industry-academia collaborations in software engineering: An empirical analysis of challenges, patterns and anti-patterns in research projects. EASE 2017: 224-229 - [c38]Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, Marko Elovainio:
Reviewing Literature on Time Pressure in Software Engineering and Related Professions: Computer Assisted Interdisciplinary Literature Review. SEmotion@ICSE 2017: 54-59 - [c37]Mika V. Mäntylä, Nicole Novielli, Filippo Lanubile, Maëlick Claes, Miikka Kuutila:
Bootstrapping a lexicon for emotional arousal in software engineering. MSR 2017: 198-202 - [c36]Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Bram Adams:
Abnormal working hours: effect of rapid releases and implications to work content. MSR 2017: 243-247 - [i7]Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, Marko Elovainio:
Reviewing Literature on Time Pressure in Software Engineering and Related Professions - Computer Assisted Interdisciplinary Literature Review. CoRR abs/1703.04372 (2017) - [i6]Mika V. Mäntylä, Nicole Novielli, Filippo Lanubile, Maëlick Claes, Miikka Kuutila:
Bootstrapping a Lexicon for Emotional Arousal in Software Engineering. CoRR abs/1703.09046 (2017) - [i5]Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Bram Adams:
Abnormal Working Hours: Effect of Rapid Releases and Implications to Work Content. CoRR abs/1704.03652 (2017) - [i4]Vahid Garousi, Michael Felderer, Mika V. Mäntylä:
Guidelines for including the grey literature and conducting multivocal literature reviews in software engineering. CoRR abs/1707.02553 (2017) - 2016
- [j21]Vahid Garousi, Mika V. Mäntylä:
Citations, research topics and active countries in software engineering: A bibliometrics study. Comput. Sci. Rev. 19: 56-77 (2016) - [j20]Francesca Arcelli Fontana, Mika V. Mäntylä, Marco Zanoni, Alessandro Marino:
Comparing and experimenting machine learning techniques for code smell detection. Empir. Softw. Eng. 21(3): 1143-1191 (2016) - [j19]Vahid Garousi, Mika V. Mäntylä:
When and what to automate in software testing? A multi-vocal literature review. Inf. Softw. Technol. 76: 92-117 (2016) - [j18]Vahid Garousi, Mika V. Mäntylä:
A systematic literature review of literature reviews in software testing. Inf. Softw. Technol. 80: 195-216 (2016) - [j17]Juha Itkonen, Mika V. Mäntylä, Casper Lassenius:
Test Better by Exploring: Harnessing Human Skills and Knowledge. IEEE Softw. 33(4): 90-96 (2016) - [c35]Vahid Garousi, Michael Felderer, Mika V. Mäntylä:
The need for multivocal literature reviews in software engineering: complementing systematic literature reviews with grey literature. EASE 2016: 26:1-26:6 - [c34]Chu Luo, Miikka Kuutila, Simon Klakegg, Denzil Ferreira, Huber Flores, Jorge Gonçalves, Vassilis Kostakos, Mika Mäntylä:
How to validate mobile crowdsourcing design? leveraging data integration in prototype testing. UbiComp Adjunct 2016: 1448-1453 - [c33]Paula Raappana, Soili Saukkoriipi, Ilkka Tervonen, Mika V. Mäntylä:
The Effect of Team Exploratory Testing - Experience Report from F-Secure. ICST Workshops 2016: 295-304 - [c32]Mika Mäntylä, Bram Adams, Giuseppe Destefanis, Daniel Graziotin, Marco Ortu:
Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity? MSR 2016: 247-258 - [c31]Päivi Raulamo-Jurvanen, Kari Kakkonen, Mika Mäntylä:
Using Surveys and Web-Scraping to Select Tools for Software Testing Consultancy. PROFES 2016: 285-300 - [c30]Mika V. Mäntylä, Kari Smolander:
Gamification of Software Testing - An MLR. PROFES 2016: 611-614 - [c29]Seyedrebvar Hosseini, Burak Turhan, Mika Mäntylä:
Search Based Training Data Selection For Cross Project Defect Prediction. PROMISE 2016: 3:1-3:10 - [i3]Mika Mäntylä, Bram Adams, Giuseppe Destefanis, Daniel Graziotin, Marco Ortu:
Mining Valence, Arousal, and Dominance - Possibilities for Detecting Burnout and Productivity? CoRR abs/1603.04287 (2016) - [i2]Miikka Kuutila, Mika Mäntylä, Päivi Raulamo-Jurvanen:
Benchmarking Web-testing - Selenium versus Watir and the Choice of Programming Language and Browser. CoRR abs/1611.00578 (2016) - [i1]Mika Viking Mäntylä, Daniel Graziotin, Miikka Kuutila:
The Evolution of Sentiment Analysis - A Review of Research Topics, Venues, and Top Cited Papers. CoRR abs/1612.01556 (2016) - 2015
- [j16]Mika V. Mäntylä, Bram Adams, Foutse Khomh, Emelie Engström, Kai Petersen:
On rapid releases and software testing: a case study and a semi-systematic literature review. Empir. Softw. Eng. 20(5): 1384-1425 (2015) - [j15]Eetu Kupiainen, Mika Mäntylä, Juha Itkonen:
Using metrics in Agile and Lean Software Development - A systematic literature review of industrial studies. Inf. Softw. Technol. 62: 143-163 (2015) - [j14]Timo O. A. Lehtinen, Mika Mäntylä, Juha Itkonen, Jari Vanhanen:
Diagrams or structural lists in software project retrospectives - An experimental comparison. J. Syst. Softw. 103: 17-35 (2015) - [j13]Marko Leppänen, Simo Mäkinen, Max Pagels, Veli-Pekka Eloranta, Juha Itkonen, Mika Mäntylä, Tomi Männistö:
The Highways and Country Roads to Continuous Deployment. IEEE Softw. 32(2): 64-72 (2015) - [c28]Paivi Raulamo-Jurvanen, Mika V. Mäntylä, Vahid Garousi:
Citation and Topic Analysis of the ESEM Papers. ESEM 2015: 136-139 - [c27]Eero I. Laukkanen, Mika Mäntylä:
Build Waiting Time in Continuous Integration - An Initial Interdisciplinary Literature Review. RCoSE@ICSE 2015: 1-4 - [c26]Hadi Hemmati, Zhihan Fang, Mika V. Mäntylä:
Prioritizing Manual Test Cases in Traditional and Rapid Release Environments. ICST 2015: 1-10 - 2014
- [j12]Juha Itkonen, Mika Mäntylä:
Are test cases needed? Replicated comparison between exploratory and test-case-based software testing. Empir. Softw. Eng. 19(2): 303-342 (2014) - [j11]Timo O. A. Lehtinen, Risto Virtanen, Juha O. Viljanen, Mika Mäntylä, Casper Lassenius:
A tool supporting root cause analysis for synchronous retrospectives in distributed software teams. Inf. Softw. Technol. 56(4): 408-437 (2014) - [j10]Timo O. A. Lehtinen, Mika Mäntylä, Jari Vanhanen, Juha Itkonen, Casper Lassenius:
Perceived causes of software project failures - An analysis of their relationships. Inf. Softw. Technol. 56(6): 623-643 (2014) - [j9]Mika Mäntylä, Juha Itkonen:
How are software defects found? The role of implicit defect detection, individual responsibility, documents, and knowledge. Inf. Softw. Technol. 56(12): 1597-1612 (2014) - [c25]Dietmar Pfahl, Huishi Yin, Mika Mäntylä, Jürgen Münch:
How is exploratory testing used? A state-of-the-practice survey. ESEM 2014: 5:1-5:10 - [c24]Markus Borg, Per Runeson, Jens Johansson, Mika Mäntylä:
A replicated study on duplicate detection: using apache lucene to search among Android defects. ESEM 2014: 8:1-8:4 - [c23]Eetu Kupiainen, Mika Mäntylä, Juha Itkonen:
Why are industrial agile teams using metrics and how do they use them? WETSoM 2014: 23-29 - [c22]Mika Mäntylä, Kai Petersen, Timo O. A. Lehtinen, Casper Lassenius:
Time pressure: a controlled experiment of test case development and requirements review. ICSE 2014: 83-94 - [c21]Emelie Engström, Mika Mäntylä, Per Runeson, Markus Borg:
Supporting Regression Test Scoping with Visual Analytics. ICST 2014: 283-292 - 2013
- [j8]Jari Vanhanen, Mika Mäntylä:
A Systematic Mapping Study of Empirical studies on the Use of Pair Programming in Industry. Int. J. Softw. Eng. Knowl. Eng. 23(9): 1221-1268 (2013) - [j7]Mika Mäntylä, Juha Itkonen:
More testers - The effect of crowd size and time restriction in software testing. Inf. Softw. Technol. 55(6): 986-1003 (2013) - [j6]Abhinaya Kasoju, Kai Petersen, Mika Mäntylä:
Analyzing an automotive testing process with evidence-based software engineering. Inf. Softw. Technol. 55(7): 1237-1259 (2013) - [j5]Juha Itkonen, Mika Mäntylä, Casper Lassenius:
The Role of the Tester's Knowledge in Exploratory Software Testing. IEEE Trans. Software Eng. 39(5): 707-724 (2013) - [c20]Xuejiao Zhou, Mika Mäntylä:
Defect Bash - Literature Review. ENASE 2013: 125-131 - [c19]Mika Mäntylä, Foutse Khomh, Bram Adams, Emelie Engström, Kai Petersen:
On Rapid Releases and Software Testing. ICSM 2013: 20-29 - [c18]Francesca Arcelli Fontana, Marco Zanoni, Alessandro Marino, Mika Mäntylä:
Code Smell Detection: Towards a Machine Learning-Based Approach. ICSM 2013: 396-399 - 2012
- [j4]