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the world. Code Review Efficacy The reviewing track will explore ways to make code reviewing more effective and efficient. A major element is how LLM tools relate to reviewing, either when code is produced by
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Delft about the new insights we gather. We will focus on open science, sharing our results to help developers across the world. Automated Code Refactoring The focus is on exploring and evaluating
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quality of after-school care using existing, large datasets. The data includes: questionnaires for managers and caregivers; (coded) observational data; (coded) video data of interactions between staff and
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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://www.umcutrecht.nl/ Street Heidelberglaan 100 Postal Code 3584 CX STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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AmsterdamCountryNetherlandsCityAmsterdamPostal Code1081BTStreetVan der Boechorststraat 7Geofield Contact City Amsterdam Website http://www.vu.nl/ Street De Boelelaan 1105 Postal Code 1081 HV STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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recognition code. In this project, we take a bottom-up approach to study synapse assembly: we will reconstitute minimal, well-controlled synaptic contacts and subject them to detailed structural
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high infrastructure costs. We will explore (1) learning-based techniques (e.g., LLMs, agents) to capture the intent behind code changes, (2) defining new metrics for test "quality" that go beyond code
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/InstituteTilburg UniversityCountryNetherlandsCityTilburgPostal Code5037 ABStreetWarandelaan 2Geofield Contact City Tilburg Website http://www.uvt.nl/ Street Warandelaan 2 Postal Code 5037 AB STATUS: EXPIRED X
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Rondom 70 Postal Code 5612 AP STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail