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12th ESEM 2018: Oulu, Finland
- Markku Oivo, Daniel Méndez Fernández, Audris Mockus:
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2018, Oulu, Finland, October 11-12, 2018. ACM 2018
Full research papers
- Florian Hofer
:
Architecture, technologies and challenges for cyber-physical systems in industry 4.0: a systematic mapping study. 1:1-1:10 - Neil Walkinshaw
Are 20% of files responsible for 80% of defects? 2:1-2:10 - Matthieu Jimenez
Are mutants really natural?: a study on how "naturalness" helps mutant selection. 3:1-3:10 - Panagiotis Stratis, Vanya Yaneva, Ajitha Rajan:
Assessing the effect of data transformations on test suite compilation. 4:1-4:10 - Qiong Feng, Yuanfang Cai, Rick Kazman, Ran Mo:
The birth, growth, death and rejuvenation of software maintenance communities. 5:1-5:10 - Welder Pinheiro Luz, Gustavo Pinto, Rodrigo Bonifácio
Building a collaborative culture: a grounded theory of well succeeded devops adoption in practice. 6:1-6:10 - Kan Qi, Anandi Hira, Elaine Venson
Calibrating use case points using bayesian analysis. 7:1-7:10 - Adrian Santos, Natalia Juristo:
Comparing techniques for aggregating interrelated replications in software engineering. 8:1-8:10 - Simone Romano
The effect of noise on software engineers' performance. 9:1-9:10 - Mansooreh Zahedi
An empirical investigation of transferring research to software technology innovation: a case of data-driven national security software. 10:1-10:10 - Farida Elzanaty, Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto:
An empirical study of design discussions in code review. 11:1-11:10 - Carmen Coviello, Simone Romano
An empirical study of inadequate and adequate test suite reduction approaches. 12:1-12:10 - Dag I. K. Sjøberg:
An empirical study of WIP in kanban teams. 13:1-13:8 - Sulaiman Aljarallah, Russell Lock:
An exploratory study of software sustainability dimensions and characteristics: end user perspectives in the kingdom of Saudi Arabia (KSA). 14:1-14:10 - Jailton Coelho, Marco Túlio Valente
Identifying unmaintained projects in github. 15:1-15:10 - Carl Martin Rosenberg, Leon Moonen
Improving problem identification via automated log clustering using dimensionality reduction. 16:1-16:10 - Junjie Wang, Song Wang, Qing Wang:
Is there a "golden" feature set for static warning identification?: an experimental evaluation. 17:1-17:10 - Davide Fucci, Simone Romano
A longitudinal cohort study on the retainment of test-driven development. 18:1-18:10 - Davide Fucci, Cristina Palomares
Needs and challenges for a platform to support large-scale requirements engineering: a multiple-case study. 19:1-19:10 - Katsiaryna Labunets:
No search allowed: what risk modeling notation to choose? 20:1-20:10 - Bowen Xu, Amirreza Shirani, David Lo
Prediction of relatedness in stack overflow: deep learning vs. SVM: a reproducibility study. 21:1-21:10 - Ayushi Rastogi, Nachiappan Nagappan, Georgios Gousios, André van der Hoek:
Relationship between geographical location and evaluation of developer contributions in github. 22:1-22:8 - Amjed Tahir, Kwabena Ebo Bennin
Revisiting the size effect in software fault prediction models. 23:1-23:10 - Norman Peitek, Janet Siegmund, Chris Parnin, Sven Apel
Simultaneous measurement of program comprehension with fMRI and eye tracking: a case study. 24:1-24:10 - Hennie Huijgens, Davide Spadini, Dick Stevens, Niels Visser, Arie van Deursen
Software analytics in continuous delivery: a case study on success factors. 25:1-25:10 - Sten Vercammen
Speeding up mutation testing via the cloud: lessons learned for further optimisations. 26:1-26:9 - Pooyan Behnamghader, Patavee Meemeng, Iordanis Fostiropoulos, Di Huang, Kamonphop Srisopha, Barry W. Boehm:
A scalable and efficient approach for compiling and analyzing commit history. 27:1-27:10 - Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Amiangshu Bosu
Understanding the software development practices of blockchain projects: a survey. 28:1-28:10 - Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes
Using experience sampling to link software repositories with emotions and work well-being. 29:1-29:10 - Syed Ahmed, Mehdi Bagherzadeh:
What do concurrency developers ask about?: a large-scale study using stack overflow. 30:1-30:10
Industry papers
- Diogo S. Mendonça
Applying pattern-driven maintenance: a method to prevent latent unhandled exceptions in web applications. 31:1-31:10 - Junji Shimagaki, Yasutaka Kamei, Naoyasu Ubayashi
Automatic topic classification of test cases using text mining at an Android smartphone vendor. 32:1-32:10 - Ronnie E. S. Santos, Cleyton V. C. de Magalhães, Luiz Fernando Capretz, Jorge S. Correia Neto, Fabio Q. B. da Silva
Computer games are serious business and so is their quality: particularities of software testing in game development from the perspective of practitioners. 33:1-33:10 - Per Erik Strandberg, Wasif Afzal, Daniel Sundmark:
Decision making and visualizations based on test results. 34:1-34:10 - Bianca Trinkenreich, Tayana Conte
Defining, measuring and monitoring IT service goals and strategies: preliminary results and pitfalls from a qualitative study with IT service managers. 35:1-35:10 - Di Wang, Matthias Galster:
Development processes and practices in a small but growing software industry: a practitioner survey in New Zealand. 36:1-36:10 - Dan Port, William Taber:
An empirical study of process policies and metrics to manage productivity and quality for maintenance of critical software systems at the jet propulsion laboratory. 37:1-37:10 - María Cecilia Bastarrica, Germán Espinoza, Jacqueline Marín:
Implementing agile practices: the experience of TSol. 38:1-38:10 - Nicolli Souza Rios Alves, Rodrigo Oliveira Spínola, Manoel G. Mendonça
The most common causes and effects of technical debt: first results from a global family of industrial surveys. 39:1-39:10 - Markus Schnappinger, Mohd Hafeez Osman
Software quality assessment in practice: a hypothesis-driven framework. 40:1-40:6 - Chong Wang, Pengwei Cui, Maya Daneva
Understanding what industry wants from requirements engineers: an exploration of RE jobs in Canada. 41:1-41:10 - Ivan Pashchenko
Vulnerable open source dependencies: counting those that matter. 42:1-42:10
Emerging results
- Chong Wang, Fan Zhang, Peng Liang
Can app changelogs improve requirements classification from app reviews?: an exploratory study. 43:1-43:4 - Silvia Abrahão
Comparing the effectiveness of goal-oriented languages: results from a controlled experiment. 44:1-44:4 - Amber van der Heijden, Cosmin Broasca, Alexander Serebrenik
An empirical perspective on security challenges in large-scale agile software development. 45:1-45:4 - Seyed Alireza Sanaee Kohroudi
Experimental validation of the suitability of virtualization-based replication for fault tolerance in real-time control of electric grids. 46:1-46:4 - Vilmar Nepomuceno
Maintaining systematic literature reviews: benefits and drawbacks. 47:1-47:4 - Emily Winter
Measuring human values in software engineering. 48:1-48:4 - Mika V. Mäntylä, Maëlick Claes
Measuring LDA topic stability from clusters of replicated runs. 49:1-49:4 - Maëlick Claes
On the use of emoticons in open source software development. 50:1-50:4 - Anh Nguyen-Duc, Xiaofeng Wang, Pekka Abrahamsson:
A preliminary study of agility in business and production: cases of early-stage hardware startups. 51:1-51:4 - Gema Rodríguez-Pérez, Andy Zaidman, Alexander Serebrenik
What if a bug has a different origin?: making sense of bugs without an explicit bug introducing change. 52:1-52:4 - Panagiota Chatzipetrou
When and who leaves matters: emerging results from an empirical study of employee turnover. 53:1-53:4
Vision papers
- Hilmer Neri, Guilherme Horta Travassos:
Measuresoftgram: a future vision of software product quality. 54:1-54:4 - Lucas Gren:
Standards of validity and the validity of standards in behavioral software engineering research: the perspective of psychological test theory. 55:1-55:4
Posters
- Hui Zhao, Jimin Liang
Domain-specific modelware: to make the machine learning model reusable and reproducible. 56:1-56:2 - Emre Sahal, Ayse Tosun
Identifying bug-inducing changes for code additions. 57:1-57:2 - Waad Alhoshan
Using semantic frames to identify related textual requirements: an initial validation. 58:1-58:2
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