Felix Dobslaw

Publications

Articles in journals
Conference papers
Doctoral theses, comprehensive summaries
Licentiate theses, comprehensive summaries
Manuscripts

Articles in journals

Jolak, R. , Karlsson, S. & Dobslaw, F. (2025). An empirical investigation of the impact of architectural smells on software maintainability. Journal of Systems and Software, vol. 225    

Thilderkvist, E. & Dobslaw, F. (2024). On current limitations of online eye-tracking to study the visual processing of source code. Information and Software Technology, vol. 174    

Dobslaw, F. , Feldt, R. & Gomes de Oliveira Neto, F. (2023). Automated black-box boundary value detection. PeerJ Computer Science, vol. 9  

Dobslaw, F. , Wan, R. & Hao, Y. (2023). Generic and industrial scale many-criteria regression test selection. Journal of Systems and Software, vol. 205  

Dobslaw, F. , Zhang, T. & Gidlund, M. (2016). End-to-End Reliability-aware Scheduling for Wireless Sensor Networks. IEEE Transactions on Industrial Informatics, vol. 12: 2, pp. 758-767.    

Dobslaw, F. , Zhang, T. & Gidlund, M. (2016). QoS-Aware Cross-layer Configuration for Industrial Wireless Sensor Networks. IEEE Transactions on Industrial Informatics, vol. 12: 5, pp. 1679-1691.  

Dobslaw, F. , Tingting, Z. & Gidlund, M. (2015). Latency Improvement Strategies for Reliability-Aware Scheduling in Industrial Wireless Sensor Networks. International Journal of Distributed Sensor Networks, vol. 2015, pp. 1-10.    

Shen, W. , Zhang, T. , Gidlund, M. & Dobslaw, F. (2013). SAS-TDMA: A Source Aware Scheduling Algorithm for Real-Time Communication in Industrial Wireless Sensor Networks. Wireless networks, vol. 19: 6, pp. 1155-1170.  

Dobslaw, F. (2010). A parameter-tuning framework for metaheuristics based on design of experiments and artificial neural networks. World Academy of Science, Engineering and Technology: An International Journal of Science, Engineering and Technology, vol. 64, pp. 213-216.

Conference papers

Dobslaw, F. & Feldt, R. (2024). Automated Boundary Identification for Machine Learning Classifiers. In SBFT '24 : Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing.. pp. 1--8.  

de Oliveira Neto, F. G. & Dobslaw, F. (2024). Building Collaborative Learning : Exploring Social Annotation in Introductory Programming. In Proceedings - International Conference on Software Engineering.. pp. 12--21.    

Velander, J. , Otero, N. , Dobslaw, F. & Milrad, M. (2024). Eliciting and empowering teachers' AI literacy : the devil is in the detail. In Proceedings of MIS4TEL 2024: Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference, University of Salamanca, Spain, June 26th - 28th, 2024. (Lecture Notes in Networks and Systems)  

Haapasaari Lindgren, M. , Persson, J. , Jolak, R. & Dobslaw, F. (2023). COMET : A ML-Based Tool for Evaluating the Effectiveness of Software Design Communication. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C).. pp. 729--736.  

Dobslaw, F. & Bergh, P. (2023). Experiences with Remote Examination Formats in Light of GPT-4. In ACM International Conference Proceeding Series.. pp. 220--225.  

Cvitic, P. H. , Dobslaw, F. & Gomes de Oliveira Neto, F. (2023). Investigating Software Testing and Maintenance of Open-Source Distributed Ledger. In Proceedings - 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023.. pp. 886--896.  

Dobslaw, F. & Feldt, R. (2023). Similarities of Testing Programmed and Learnt Software. In Proceedings - 2023 IEEE 16th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2023.. pp. 78--81.  

Rico, S. , Dobslaw, F. & Öberg, L. (2023). Starting Collaborations Between SMEs and Researchers in Software Engineering. In Software Business : 14th International Conference, ICSOB 2023, Lahti, Finland, November 27–29, 2023, Proceedings. (Lecture Notes in Business Information Processing (LNBIP, volume 500)). pp. 222--230.    

Dobslaw, F. , Angelin, K. , Öberg, L. & Ahmad, A. (2023). The Gap between Higher Education and the Software Industry - A Case Study on Technology Differences. In ACM International Conference Proceeding Series.. pp. 11--21.  

Holmberg, M. & Dobslaw, F. (2022). An Industrial Case-Study on GUI Testing With RPA. In 2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).. pp. 199--206.  

Hokka, H. , Dobslaw, F. & Bengtsson, J. (2021). Linking Developer Experience to Coding Style in Open-Source Repositories. In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). (2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)). pp. 516--520.  

Åhs, F. , Mozelius, P. & Dobslaw, F. (2020). Artificial Intelligence Supported Cognitive Behavioral Therapy for Treatment of Speech Anxiety in Virtual Reality Environments. In Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics. Reading, UK :    

Dobslaw, F. , Vallin, M. & Sundström, R. (2020). Free the Bugs : Disclosing Blocking Violations in Reactive Programming. In 2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM).. pp. 177--186.  

Dobslaw, F. , Gidlund, M. & Zhang, T. (2015). Challenges for the use of data aggregation in industrial Wireless Sensor Networks. In IEEE International Conference on Automation Science and Engineering.. pp. 138--144.  

Jonsson, P. , Thörnberg, B. , Dobslaw, F. & Vaa, T. (2015). Road Condition Imaging: Model Development. Paper presented at the Transportation Research Board 2015 Annual Meeting

Dobslaw, F. , Zhang, T. & Gidlund, M. (2013). QoS Assessment for Mission-critical Wireless Sensor Network Applications. In Proceedings - Conference on Local Computer Networks, LCN.. pp. 663--666.  

Jonsson, P. & Dobslaw, F. (2012). Decision support system for variable speed regulation. Paper presented at the SIRWEC - 16th International Road Weather Conference

Dobslaw, F. (2012). InPUT: The Intelligent Parameter Utilization Tool. In GECCO Companion 12 : Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion. New York, NY, USA : . pp. 149--156.  

Dobslaw, F. (2011). Iteration-wise parameter learning. In 2011 IEEE Congress of Evolutionary Computation, CEC 2011. New Orleans, LA : . pp. 455--462.  

Dobslaw, F. (2010). A Parameter Tuning Framework for Metaheuristics Based on Design of Experiments and Artificial Neural Networks. In Proceeding of the International Conference on Computer Mathematics and Natural Computing 2010.  

Dobslaw, F. (2010). An experimental study on robust parameter settings. In Proceedings of the 12th annual conference comp on Genetic and evolutionary computation.. pp. 1999--2002.  

Dobslaw, F. , Larsson, A. , Kanter, T. & Walters, J. (2010). An Object-Oriented Model in Support of Context-Aware Mobile Applications. Paper presented at the Mobilware 2010

Dobslaw, F. (2010). Recent Development in Automatic Parameter Tuning for Metaheuristics. In Proceedings of the 19^th Annual Conference of Doctoral Students - WDS 2010.-10.

Doctoral theses

Dobslaw, F. (2015). End-to-End Quality of Service Guarantees for Wireless Sensor Networks. Dis. (Comprehensive summary) Östersund : Mid Sweden University, 2015 (Mid Sweden University doctoral thesis : 234)  

Licentiate theses, comprehensive summaries

Dobslaw, F. (2011). Automatic Instance-based Tailoring of Parameter Settings for Metaheuristics. Lic. (Comprehensive summary) Östersund : Mid Sweden University, 2011 (Mid Sweden University licentiate thesis : 67)  

Manuscripts

Dobslaw, F. , Zhang, T. & Gidlund, M. A Reliability-Aware Cross-layer Optimization Framework for Wireless Sensor Networks..

Dobslaw, F. Finding Optimal Size TDMA Schedules using Integer Programming.