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20112026
most citedGuiding Deep Learning System Testing using Surprise Adequacy

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

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Showing 2018Show all

12 papers · 1 filter

cs.SE2018★ 62 cited

Bayesian Data Analysis in Empirical Software Engineering Research

Carlo A. Furia, Robert Feldt, Richard Torkar

Statistics comes in two main flavors: frequentist and Bayesian. For historical and technical reasons, frequentist statistics have traditionally dominated empirical data analysis, a…

cs.SE2018

Misaligned Values in Software Engineering Organizations

Per Lenberg, Robert Feldt, Lars Göran Wallgren Tengberg

The values of software organizations are crucial for achieving high performance; in particular, agile development approaches emphasize their importance. Researchers have thus far o…

cs.SE2018★ 1 cited

Finding a boundary between valid and invalid regions of the input space

Bogdan Marculescu, Robert Feldt

In the context of robustness testing, the boundary between the valid and invalid regions of the input space can be an interesting source of erroneous inputs. Knowing where a specif…

cs.SE2018★ 1 cited

A Method to Assess and Argue for Practical Significance in Software Engineering

Richard Torkar, Carlo A. Furia, Robert Feldt +4

A key goal of empirical research in software engineering is to assess practical significance, which answers whether the observed effects of some compared treatments show a relevant…

cs.SE2018★ 450 cited

Guiding Deep Learning System Testing using Surprise Adequacy

Jinhan Kim, Robert Feldt, Shin Yoo

Deep Learning (DL) systems are rapidly being adopted in safety and security critical domains, urgently calling for ways to test their correctness and robustness. Testing of DL syst…

cs.SE2018

Visualizing test diversity to support test optimisation

Francisco Gomes de Oliveira Neto, Robert Feldt, Linda Erlenhov +1

Diversity has been used as an effective criteria to optimise test suites for cost-effective testing. Particularly, diversity-based (alternatively referred to as similarity-based) t…

cs.CY2018

Involving External Stakeholders in Project Courses

Jan-Philipp Steghöfer, Håkan Burden, Regina Hebig +6

Problem: The involvement of external stakeholders in capstone projects and project courses is desirable due to its potential positive effects on the students. Capstone projects par…

cs.SE2018★ 1 cited

Transferring Interactive Search-Based Software Testing to Industry

Bogdan Marculescu, Robert Feldt, Richard Torkar +1

Search-Based Software Testing (SBST) is the application of optimization algorithms to problems in software testing. In previous work, we have implemented and evaluated Interactive…

cs.NE2018★ 36 cited

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Joel Lehman, Jeff Clune, Dusan Misevic +50

Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic pr…

cs.SE2018

A Testability Analysis Framework for Non-Functional Properties

Michael Felderer, Bogdan Marculescu, Francisco Gomes de Oliveira Neto +2

This paper presents background, the basic steps and an example for a testability analysis framework for non-functional properties.

cs.SE2018

Ways of Applying Artificial Intelligence in Software Engineering

Robert Feldt, Francisco G. de Oliveira Neto, Richard Torkar

As Artificial Intelligence (AI) techniques have become more powerful and easier to use they are increasingly deployed as key components of modern software systems. While this enabl…

cs.SE2018

Psychological Safety and Norm Clarity in Software Engineering Teams

Per Lenberg, Robert Feldt

In the software engineering industry today, companies primarily conduct their work in teams. To increase organizational productivity, it is thus crucial to know the factors that af…