Research

@inproceedings{10.1007/978-3-031-78386-9_27,

title = {Supporting Value-Aware Software Engineering Through Traceability and Value Tactics},

author = {Rebekka Wohlrab and Marc Herrmann and Christopher Lazik and Marvin Wyrich and Inês Nunes and Kurt Schneider and Lucas Gren and Robert Heinrich},

editor = {Dietmar Pfahl and Javier Gonzalez Huerta and Jil Klünder and Hina Anwar},

isbn = {978-3-031-78386-9},

year  = {2025},

date = {2025-01-01},

booktitle = {Product-Focused Software Process Improvement},

pages = {368–376},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {Understanding human values like honesty, security, power, and fairness is crucial for designing trustworthy software systems. Recently, the software engineering community has recognized the importance of considering human values when developing software systems.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3701571.3703391,

title = {MIRAGE: Mixed Reality Alerts for Guarding Against Environmental Fall Hazards},

author = {Christopher Katins and Christopher Lazik and Katja Chen and Thomas Kosch},

url = {https://doi.org/10.1145/3701571.3703391},

doi = {10.1145/3701571.3703391},

isbn = {9798400712838},

year  = {2024},

date = {2024-01-01},

booktitle = {Proceedings of the International Conference on Mobile and Ubiquitous Multimedia},

pages = {481–483},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {MUM '24},

abstract = {This study investigates the effectiveness of Mixed Reality (MR) warnings for fall hazards, focusing on user perception and the impact of warning size, color, and visual complexity. Using a commercial off-the-shelf MR device, three different warning sizes were displayed in front of a staircase, and data were collected from twelve participants through semi-structured interviews. Findings revealed that while larger warnings attracted more attention, they sometimes became distractions instead. Participants preferred conspicuous colors and medium-to-large warnings but noted the need for these elements to blend seamlessly into the real-world environment to avoid cognitive overload. Additionally, participants expressed a desire for MR warnings in more safety-critical environments, such as road traffic scenarios. These results highlight the need for a balanced approach to MR warning design, ensuring they are noticeable without being intrusive to enhance safety in dynamic environments.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-031-19756-7_12,

title = {A Consolidated View on Specification Languages for Data Analysis Workflows},

author = {Marcus Hilbrich and Sebastian Müller and Svetlana Kulagina and Christopher Lazik and Ninon De Mecquenem and Lars Grunske},

editor = {Tiziana Margaria and Bernhard Steffen},

isbn = {978-3-031-19756-7},

year  = {2022},

date = {2022-01-01},

booktitle = {Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering},

pages = {201–215},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {Data analysis workflows (DAWs) are widely used in the scientific world. However, different communities created a plethora of domain-specific languages (DSLs) to specify their DAWs. Consequently, across DSLs, it is hard to perform operations on DAWs such as share, port, compare, re-use, adapt, or even merge. Thus, we have analyzed DAW specification languages and created a unified DAW metamodel. Given an instance of a DAW specification that can be matched to our metamodel, we are now able to apply CRUD operations (create, read, update, delete), and can potentially translate between different DAW specification languages.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}