Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleSeptember 2024
Interpretability Based Neural Network Repair
ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and AnalysisPages 908–919https://doi.org/10.1145/3650212.3680330Along with the prevalent use of deep neural networks (DNNs), concerns have been raised on the security threats from DNNs such as backdoors in the network. While neural network repair methods have shown to be effective for fixing the defects in DNNs, they ...
- research-articleSeptember 2024
“It's All Connected” - A Boardgame to Communicate Climate Impacts of IoT
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social GoodPages 249–256https://doi.org/10.1145/3677525.3678668Fueled by the rapidly increasing Internet of Things industry, the volume of global e-waste escalates annually posing significant health and environmental risks. Our research around repairability of IoT devices to elongate their lifespan has uncovered ...
- ArticleJuly 2024
GaLaPaGoS: A Design Pattern for Sustainability of ICT Interactive Software and Services
AbstractICT is an enabler for sustainable development and contributes to sustainability problems arising from different human activities aided by ICT interactive software and services. Consequently, these ICT-aided activities contribute to a vast amount ...
- ArticleJune 2024
User-Centred Repair: From Current Practices to Future Design
Distributed, Ambient and Pervasive InteractionsPages 52–71https://doi.org/10.1007/978-3-031-59988-0_4AbstractFrom the kitchen to the bathroom, homes are now equipped with various technological devices like smart vacuums, intelligent mirrors, digital thermostats, wearables, and voice-controlled assistants such as Amazon Alexa. This surge in ubiquitous ...
- research-articleAugust 2024
Deep Mutations have Little Impact
GI '24: Proceedings of the 13th ACM/IEEE International Workshop on Genetic ImprovementPages 1–8https://doi.org/10.1145/3643692.3648259Using MAGPIE (Machine Automated General Performance Improvement via Evolution of software), we measure the impact of genetic improvement (GI) on a non-deterministic deeply nested PARSEC VIPS parallel computing multi-threaded image processing benchmark ...
-
- research-articleSeptember 2024
Hot Patching Hot Fixes: Reflection and Perspectives
ASE '23: Proceedings of the 38th IEEE/ACM International Conference on Automated Software EngineeringPages 1781–1786https://doi.org/10.1109/ASE56229.2023.00021With our reliance on software continuously increasing, it is of utmost importance that it be reliable. However, complete prevention of bugs in live systems is unfortunately an impossible task due to time constraints, incomplete testing, and developers ...
- ArticleJuly 2024
Sustainability and Home Automation: The Case of Repairing or Replacing Vacuum Cleaners
AbstractHousehold practices are a microcosm that shows how we think about sustainability on an everyday basis. This study focuses on vacuuming, which is a household chore with similarities to routine activities at work. The 24 participants in the study ...
- research-articleSeptember 2023
Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: An Industrial Case Study on Elevator Dispatching Algorithms
ICSE-SEIP '23: Proceedings of the 45th International Conference on Software Engineering: Software Engineering in PracticePages 396–408https://doi.org/10.1109/ICSE-SEIP58684.2023.00042Real-world Cyber-Physical Systems (CPSs) are usually configurable. Through parameters, it is possible to configure, select or unselect different system functionalities. While this provides high flexibility, it also becomes a source for failures due to ...
- research-articleJuly 2023
Towards Formal Repair and Verification of Industry-Scale Deep Neural Networks
ICSE '23: Proceedings of the 45th International Conference on Software Engineering: Companion ProceedingsPages 360–364https://doi.org/10.1109/ICSE-Companion58688.2023.00103There is a strong demand in the industry to update a deep neural network (DNN) as quickly, safely, and user-driven as possible for fixing critical prediction failure cases found in a safety-critical ML-enabled system for continuous quality assurance. ...
- research-articleApril 2023
From Bias to Repair: Error as a Site of Collaboration and Negotiation in Applied Data Science Work
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue CSCW1Article No.: 131, Pages 1–32https://doi.org/10.1145/3579607Managing error has become an increasingly central and contested arena within data science work. While recent scholarship in artificial intelligence and machine learning has focused on limiting and eliminating error, practitioners have long used error as ...
- research-articleApril 2023
Face Work: A Human-Centered Investigation into Facial Verification in Gig Work
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue CSCW1Article No.: 52, Pages 1–24https://doi.org/10.1145/3579485Through intensive research on datasets, benchmarks, and models, the computer-vision community has taken great strides to identify the societal biases intrinsic to these technologies. Less is known about the last mile of the computer-vision machine-...
- research-articleFebruary 2023
Right to Repair: Pricing, Welfare, and Environmental Implications
The “right-to-repair” (RTR) movement calls for government legislation that requires manufacturers to provide repair information, tools, and parts so that consumers can independently repair their own products with more ease. The initiative has gained ...
- research-articleJanuary 2023
Digital Transformation, Applications, and Vulnerabilities in Maritime and Shipbuilding Ecosystems
Procedia Computer Science (PROCS), Volume 217, Issue CPages 1396–1405https://doi.org/10.1016/j.procs.2022.12.338AbstractThe evolution of maritime and shipbuilding supply chains toward digital ecosystems increases operational complexity and needs reliable communication and coordination. As labor and suppliers shift to digital platforms, interconnection, information ...
- research-articleDecember 2022
Looking Past the Miracle Box: An Exploration of Tools and Practices along the e-waste Value Chain in Ghana
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue GROUPArticle No.: 15, Pages 1–13https://doi.org/10.1145/3567565This paper focuses on tools to approach the practices inherent to the formal and informal e-waste value-chains in Ghana. Our series of field trips and interviews with e-waste collectors and scrap workers, repairers and retailers at their respective ...
- research-articleNovember 2022
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
ACM Transactions on Graphics (TOG), Volume 41, Issue 6Article No.: 230, Pages 1–10https://doi.org/10.1145/3550454.3555470We introduce DeepJoin, an automated approach to generate high-resolution repairs for fractured shapes using deep neural networks. Existing approaches to perform automated shape repair operate exclusively on symmetric objects, require a complete proxy ...
- research-articleOctober 2022
The Contestation Café: A Manifesto for Contestation: Prototyping an agonistic place
NordiCHI '22: Nordic Human-Computer Interaction ConferenceArticle No.: 77, Page 1https://doi.org/10.1145/3546155.3547290The Contestation Manifesto and its associated paraphernalia are artefacts from a speculative, near-future community action known as the Contestation Café. Being one in a series of research through design projects on contestation, the Contestation Café ...
- research-articleOctober 2022
Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service
NordiCHI '22: Nordic Human-Computer Interaction ConferenceArticle No.: 56, Pages 1–13https://doi.org/10.1145/3546155.3546665Trust in chatbots can be shaped by various factors such as humanlikeness in terms of visual appearance and conversational content, and conversational performance in terms of the chatbot’s ability to avoid conversational breakdown. The literature is ...
- research-articleOctober 2022
SEbox4DL: a modular software engineering toolbox for deep learning models
ICSE '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion ProceedingsPages 193–196https://doi.org/10.1145/3510454.3516828Deep learning (DL) models are widely used in software applications. Novel DL models and datasets are published from time to time. Developers may also tempt to apply new software engineering (SE) techniques on their DL models. However, no existing tool ...
- research-articleApril 2022
How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing SystemsArticle No.: 29, Pages 1–17https://doi.org/10.1145/3491102.3501972Chatbots have garnered interest as conversational interfaces for a variety of tasks. While general design guidelines exist for chatbot interfaces, little work explores analytical chatbots that support conversing with data. We explore Gricean Maxims to ...
- research-articleJanuary 2022
A simulation study on the necessity of working breakdown in a state dependent bulk arrival queue with disaster and optional re-service
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Volume 41, Issue 1Pages 1–15https://doi.org/10.1504/ijahuc.2022.125034Sudden increase in service requests immediately after an occurrence of a disaster due to the scarcity of resources creates congestion in service. Effective queue management should ensure that the services are available for every request with an acceptable ...