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

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Showing 2023Show all

12 papers · 1 filter

cs.SE2023★ 3 cited

Autonomous Large Language Model Agents Enabling Intent-Driven Mobile GUI Testing

Juyeon Yoon, Robert Feldt, Shin Yoo

GUI testing checks if a software system behaves as expected when users interact with its graphical interface, e.g., testing specific functionality or validating relevant use case s…

cs.SE2023

Improving web element localization by using a large language model

Michel Nass, Emil Alegroth, Robert Feldt

Web-based test automation heavily relies on accurately finding web elements. Traditional methods compare attributes but don't grasp the context and meaning of elements and words. T…

cs.SE2023★ 18 cited

Large-scale information retrieval in software engineering -- an experience report from industrial application

Michael Unterkalmsteiner, Tony Gorschek, Robert Feldt +1

Software Engineering activities are information intensive. Research proposes Information Retrieval (IR) techniques to support engineers in their daily tasks, such as establishing a…

cs.SE2023★ 294 cited

Evaluation and Measurement of Software Process Improvement -- A Systematic Literature Review

Michael Unterkalmsteiner, Tony Gorschek, A. K. M. Moinul Islam +3

BACKGROUND: Software Process Improvement (SPI) is a systematic approach to increase the efficiency and effectiveness of a software development organization and to enhance software…

cs.SE2023★ 12 cited

A conceptual framework for SPI evaluation

Michael Unterkalmsteiner, Tony Gorschek, A. K. M. Moinul Islam +3

Software Process Improvement (SPI) encompasses the analysis and modification of the processes within software development, aimed at improving key areas that contribute to the organ…

cs.SE2023★ 116 cited

Challenges and Practices in Aligning Requirements with Verification and Validation: A Case Study of Six Companies

Elizabeth Bjarnason, Per Runeson, Markus Borg +7

Weak alignment of requirements engineering (RE) with verification and validation (VV) may lead to problems in delivering the required products in time with the right quality. For e…

cs.SE2023★ 71 cited

A Taxonomy for Requirements Engineering and Software Test Alignment

Michael Unterkalmsteiner, Robert Feldt, Tony Gorschek

Requirements Engineering and Software Testing are mature areas and have seen a lot of research. Nevertheless, their interactions have been sparsely explored beyond the concept of t…

cs.SE2023★ 51 cited

Challenges in aligning requirements engineering and verification in a large-scale industrial context

Giedre Sabaliauskaite, Annabella Loconsole, Emelie Engström +5

[Context and motivation] When developing software, coordination between different organizational units is essential in order to develop a good quality product, on time and within b…

cs.SE2023

Learning Test-Mutant Relationship for Accurate Fault Localisation

Jinhan Kim, Gabin An, Robert Feldt +1

Context: Automated fault localisation aims to assist developers in the task of identifying the root cause of the fault by narrowing down the space of likely fault locations. Simula…

cs.SE2023★ 2 cited

Towards Autonomous Testing Agents via Conversational Large Language Models

Robert Feldt, Sungmin Kang, Juyeon Yoon +1

Software testing is an important part of the development cycle, yet it requires specialized expertise and substantial developer effort to adequately test software. Recent discoveri…

cs.SE2023

Robust web element identification for evolving applications by considering visual overlaps

Michel Nass, Riccardo Coppola, Emil Alégroth +1

Fragile (i.e., non-robust) test execution is a common challenge for automated GUI-based testing of web applications as they evolve. Despite recent progress, there is still room for…

cs.SE2023★ 14 cited

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions

Carlo A. Furia, Richard Torkar, Robert Feldt

There is abundant observational data in the software engineering domain, whereas running large-scale controlled experiments is often practically impossible. Thus, most empirical st…