activity
20112026
most citedGuiding Deep Learning System Testing using Surprise Adequacy

450 citations · 1.8k across the 77 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.SE2020★ 8 cited

Using mutation testing to measure behavioural test diversity

Francisco Gomes de Oliveira Neto, Felix Dobslaw, Robert Feldt

Diversity has been proposed as a key criterion to improve testing effectiveness and efficiency.It can be used to optimise large test repositories but also to visualise test mainten…

cs.SE2020★ 102 cited

Empirical Standards for Software Engineering Research

Paul Ralph, Nauman bin Ali, Sebastian Baltes +39

Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer…

cs.SE2020

Towards a Model of Testers' Cognitive Processes: Software Testing as a Problem Solving Approach

Eduard Enoiu, Gerald Tukseferi, Robert Feldt

Software testing is a complex, intellectual activity based (at least) on analysis, reasoning, decision making, abstraction and collaboration performed in a highly demanding environ…

cs.LG2020★ 45 cited

Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

Jinhan Kim, Jeongil Ju, Robert Feldt +1

Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object seg…

cs.SE2020

SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation

Sungmin Kang, Robert Feldt, Shin Yoo

The testing of Deep Neural Networks (DNNs) has become increasingly important as DNNs are widely adopted by safety critical systems. While many test adequacy criteria have been sugg…

cs.SE2020★ 38 cited

Psychometrics in Behavioral Software Engineering: A Methodological Introduction with Guidelines

Daniel Graziotin, Per Lenberg, Robert Feldt +1

A meaningful and deep understanding of the human aspects of software engineering (SE) requires psychological constructs to be considered. Psychology theory can facilitate the syste…

cs.SE2020★ 18 cited

Boundary Value Exploration for Software Analysis

Felix Dobslaw, Francisco Gomes de Oliveira Neto, Robert Feldt

For software to be reliable and resilient, it is widely accepted that tests must be created and maintained alongside the software itself. One safeguard from vulnerabilities and fai…