activity
20172021
most citedTime Pressure in Software Engineering: A Systematic Review

96 citations · 433 across the 13 of their papers we have counts for

collaborators

14 papers

cs.SE2021

Data Balancing Improves Self-Admitted Technical Debt Detection

Murali Sridharan, Mika Mantyla, Leevi Rantala +1

A high imbalance exists between technical debt and non-technical debt source code comments. Such imbalance affects Self-Admitted Technical Debt (SATD) detection performance, and ex…

cs.IT2020★ 94 cited

6G White Paper on Machine Learning in Wireless Communication Networks

Samad Ali, Walid Saad, Nandana Rajatheva +24

The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…

cs.SE2020★ 12 cited

Chat activity is a better predictor than chat sentiment on software developers productivity

Miikka Kuutila, Mika Mäntylä, Maëlick Claes

Recent works have proposed that software developers' positive emotion has a positive impact on software developers' productivity. In this paper we investigate two data sources: dev…

cs.SE2020★ 27 cited

20-MAD -- 20 Years of Issues and Commits of Mozilla and Apache Development

Maëlick Claes, Mika Mäntylä

Data of long-lived and high profile projects is valuable for research on successful software engineering in the wild. Having a dataset with different linked software repositories o…

cs.SE2019★ 96 cited

Time Pressure in Software Engineering: A Systematic Review

Miikka Kuutila, Mika Mäntylä, Umar Farooq +1

Large project overruns and overtime work have been reported in the software industry, resulting in additional expense for companies and personal issues for developers. The present…

cs.SE2018★ 25 cited

Using Experience Sampling to link Software Repositories with Emotions and Work Well-Being

Miikka Kuutila, Mika Mäntylä, Maëlick Claes +2

Background: The experience sampling method studies everyday experiences of humans in natural environments. In psychology it has been used to study the relationships between work we…

cs.CL2018★ 55 cited

Measuring LDA Topic Stability from Clusters of Replicated Runs

Mika Mäntylä, Maëlick Claes, Umar Farooq

Background: Unstructured and textual data is increasing rapidly and Latent Dirichlet Allocation (LDA) topic modeling is a popular data analysis methods for it. Past work suggests t…

cs.SE2018★ 13 cited

On the Use of Emoticons in Open Source Software Development

Maëlick Claes, Mika Mäntylä, Umar Farooq

Background: Using sentiment analysis to study software developers' behavior comes with challenges such as the presence of a large amount of technical discussion unlikely to express…

cs.SE2018★ 14 cited

Towards Identifying Paid Open Source Developers - A Case Study with Mozilla Developers

Maëlick Claes, Mika Mäntylä, Miikka Kuutila +1

Open source development contains contributions from both hired and volunteer software developers. Identification of this status is important when we consider the transferability of…

cs.SE2018★ 16 cited

Natural Language or Not (NLoN) - A Package for Software Engineering Text Analysis Pipeline

Mika V. Mäntylä, Fabio Calefato, Maelick Claes

The use of natural language processing (NLP) is gaining popularity in software engineering. In order to correctly perform NLP, we must pre-process the textual information to separa…

cs.SE2018★ 31 cited

Do Programmers Work at Night or During the Weekend?

Maëlick Claes, Mika Mäntylä, Miikka Kuutila +1

Abnormal working hours can reduce work health, general well-being, and productivity, independent from a profession. To inform future approaches for automatic stress and overload de…

cs.SE2017★ 16 cited

Abnormal Working Hours: Effect of Rapid Releases and Implications to Work Content

Maëlick Claes, Mika Mäntylä, Miikka Kuutila +1

During the past years, overload at work leading to psychological diseases, such as burnouts, have drawn more public attention. This paper is a preliminary step toward an analysis o…

cs.SE2017★ 34 cited

Bootstrapping a Lexicon for Emotional Arousal in Software Engineering

Mika V. Mäntylä, Nicole Novielli, Filippo Lanubile +2

Emotional arousal increases activation and performance but may also lead to burnout in software development. We present the first version of a Software Engineering Arousal lexicon…

cs.SE2017

Reviewing Literature on Time Pressure in Software Engineering and Related Professions - Computer Assisted Interdisciplinary Literature Review

Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes +1

During the past years, psychological diseases related to unhealthy work environments, such as burnouts, have drawn more and more public attention. One of the known causes of these…