activity
20192026
most citedTest Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review

181 citations · 933 across the 61 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.CV2020★ 17 cited

Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)

Fitash Ul Haq, Donghwan Shin, Lionel C. Briand +2

Automatically detecting the positions of key-points (e.g., facial key-points or finger key-points) in an image is an essential problem in many applications, such as driver's gaze d…

cs.SE2020★ 9 cited

Automated, Cost-effective, and Update-driven App Testing

Chanh Duc Ngo, Fabrizio Pastore, Lionel Briand

Apps' pervasive role in our society led to the definition of test automation approaches to ensure their dependability. However, state-of-the-art approaches tend to generate large n…

cs.SE2020

Reinforcement Learning for Test Case Prioritization

Mojtaba Bagherzadeh, Nafiseh Kahani, Lionel Briand

Continuous Integration (CI) significantly reduces integration problems, speeds up development time, and shortens release time. However, it also introduces new challenges for qualit…

cs.SE2020

Trace-Checking CPS Properties: Bridging the Cyber-Physical Gap

Claudio Menghi, Enrico Viganò, Domenico Bianculli +1

Cyber-physical systems combine software and physical components. Specification-driven trace-checking tools for CPS usually provide users with a specification language to express th…

cs.SE2020★ 5 cited

Model Driven Engineering for Data Protection and Privacy: Application and Experience with GDPR

Damiano Torre, Mauricio Alferez, Ghanem Soltana +2

In Europe and indeed worldwide, the General Data Protection Regulation (GDPR) provides protection to individuals regarding their personal data in the face of new technological deve…

cs.SE2020★ 12 cited

Estimating Probabilistic Safe WCET Ranges of Real-Time Systems at Design Stages

Jaekwon Lee, Seung Yeob Shin, Shiva Nejati +2

Estimating worst-case execution times (WCET) is an important activity at early design stages of real-time systems. Based on WCET estimates, engineers make design and implementation…

cs.SE2020

On Systematically Building a Controlled Natural Language for Functional Requirements

Alvaro Veizaga, Mauricio Alferez, Damiano Torre +2

[Context] Natural language (NL) is pervasive in software requirements specifications (SRSs). However, despite its popularity and widespread use, NL is highly prone to quality issue…

cs.SE2020★ 1 cited

Effective Removal of Operational Log Messages: an Application to Model Inference

Donghwan Shin, Domenico Bianculli, Lionel Briand

Model inference aims to extract accurate models from the execution logs of software systems. However, in reality, logs may contain some "noise" that could deteriorate the performan…

cs.SE2020★ 35 cited

Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning

Hazem Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh +1

Deep neural networks (DNNs) are increasingly important in safety-critical systems, for example in their perception layer to analyze images. Unfortunately, there is a lack of method…

cs.SE2020

An Automated Framework for the Extraction of Semantic Legal Metadata from Legal Texts

Amin Sleimi, Nicolas Sannier, Mehrdad Sabetzadeh +3

Semantic legal metadata provides information that helps with understanding and interpreting legal provisions. Such metadata is therefore important for the systematic analysis of le…