b'Robert Feldt'

research

∙ 08/22/2023

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

Software Engineering activities are information intensive. Research prop...

0 Michael Unterkalmsteiner, et al. ∙

research

∙ 08/15/2023

Assessing requirements engineering and software test alignment – Five case studies

The development of large, software-intensive systems is a complex undert...

0 Michael Unterkalmsteiner, et al. ∙

research

∙ 07/24/2023

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

BACKGROUND: Software Process Improvement (SPI) is a systematic approach ...

0 Michael Unterkalmsteiner, et al. ∙

research

∙ 07/24/2023

A conceptual framework for SPI evaluation

Software Process Improvement (SPI) encompasses the analysis and modifica...

0 Michael Unterkalmsteiner, et al. ∙

research

∙ 07/24/2023

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

Weak alignment of requirements engineering (RE) with verification and va...

0 Elizabeth Bjarnason, et al. ∙

research

∙ 07/24/2023

A Taxonomy for Requirements Engineering and Software Test Alignment

Requirements Engineering and Software Testing are mature areas and have ...

0 Michael Unterkalmsteiner, et al. ∙

research

∙ 07/23/2023

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

[Context and motivation] When developing software, coordination between ...

0 Giedre Sabaliauskaite, et al. ∙

research

∙ 06/08/2023

Towards Autonomous Testing Agents via Conversational Large Language Models

Software testing is an important part of the development cycle, yet it r...

0 Robert Feldt, et al. ∙

research

∙ 06/04/2023

Learning Test-Mutant Relationship for Accurate Fault Localisation

Context: Automated fault localisation aims to assist developers in the t...

0 Jinhan Kim, et al. ∙

research

∙ 01/18/2023

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

There is abundant observational data in the software engineering domain,...

0 Carlo A. Furia, et al. ∙

research

∙ 01/10/2023

Robust web element identification for evolving applications by considering visual overlaps

Fragile (i.e., non-robust) test execution is a common challenge for auto...

0 Michel Nass, et al. ∙

research

∙ 08/01/2022

Similarity-based web element localization for robust test automation

Non-robust (fragile) test execution is a commonly reported challenge in ...

0 Michel Nass, et al. ∙

research

∙ 07/19/2022

Automated Black-Box Boundary Value Detection

The input domain of software systems can typically be divided into sub-d...

0 Felix Dobslaw, et al. ∙

research

∙ 06/28/2022

Test2Vec: An Execution Trace Embedding for Test Case Prioritization

Most automated software testing tasks can benefit from the abstract repr...

0 Emad Jabbar, et al. ∙

research

∙ 01/16/2022

A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning

Most software companies have extensive test suites and re-run parts of t...

0 Aurora Ramírez, et al. ∙

research

∙ 01/14/2022

Cognition in Software Engineering: A Taxonomy and Survey of a Half-Century of Research

Cognition plays a fundamental role in most software engineering activiti...

0 Fabian Fagerholm, et al. ∙

research

∙ 10/26/2021

Automated Support for Unit Test Generation: A Tutorial Book Chapter

Unit testing is a stage of testing where the smallest segment of code th...

0 Afonso Fontes, et al. ∙

research

∙ 04/19/2021

Causal Program Dependence Analysis

We introduce Causal Program Dependence Analysis (CPDA), a dynamic depend...

0 Seongmin Lee, et al. ∙

research

∙ 03/08/2021

Towards Human-Like Automated Test Generation: Perspectives from Cognition and Problem Solving

Automated testing tools typically create test cases that are different f...

0 Eduard Enoiu, et al. ∙

research

∙ 01/29/2021

Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality

Statistical analysis is the tool of choice to turn data into information...

0 Carlo A. Furia, et al. ∙

research

∙ 10/19/2020

Using mutation testing to measure behavioural test diversity

Diversity has been proposed as a key criterion to improve testing effect...

0 Francisco Gomes de Oliveira Neto, et al. ∙

research

∙ 10/07/2020

Empirical Standards for Software Engineering Research

Empirical Standards are natural-language models of a scientific communit...

0 Paul Ralph, et al. ∙

research

∙ 07/17/2020

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

Software testing is a complex, intellectual activity based (at least) on...

0 Eduard Enoiu, et al. ∙

research

∙ 05/29/2020

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

Deep Neural Networks (DNNs) are rapidly being adopted by the automotive ...

0 Jinhan Kim, et al. ∙

research

∙ 05/20/2020

Psychometrics in Behavioral Software Engineering: A Methodological Introduction with Guidelines

Humans are what constitutes the most complex and complicated, yet fascin...

0 Daniel Graziotin, et al. ∙

research

∙ 05/20/2020

Behavioral Software Engineering: Methodological Introduction to Psychometrics

Humans are what constitutes the most complex and complicated, yet fascin...

0 Daniel Graziotin, et al. ∙

research

∙ 05/19/2020

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

The testing of Deep Neural Networks (DNNs) has become increasingly impor...

0 Sungmin Kang, et al. ∙

research

∙ 01/18/2020

Boundary Value Exploration for Software Analysis

For software to be reliable and resilient, it is widely accepted that te...

0 Felix Dobslaw, et al. ∙

research

∙ 07/08/2019

Estimating Return on Investment for GUI Test Automation Tools

Automated graphical user interface (GUI) tests can reduce manual testing...

0 Felix Dobslaw, et al. ∙

research

∙ 05/27/2019

Towards Automated Boundary Value Testing with Program Derivatives and Search

A natural and often used strategy when testing software is to use input ...

0 Robert Feldt, et al. ∙

research

∙ 04/08/2019

The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development

With the general trend towards data-driven decision making (DDDM), organ...

0 Richard Berntsson Svensson, et al. ∙

research

∙ 04/04/2019

Group development and group maturity when building agile teams: A qualitative and quantitative investigation at eight large companies

The agile approach to projects focuses more on close-knit teams than tra...

0 Lucas Gren, et al. ∙

research

∙ 04/04/2019

Group Maturity and Agility, Are They Connected? - A Survey Study

The focus on psychology has increased within software engineering due to...

0 Lucas Gren, et al. ∙

research

∙ 04/04/2019

The prospects of a quantitative measurement of agility: A validation study on an agile maturity model

Agile development has now become a well-known approach to collaboration ...

0 Lucas Gren, et al. ∙

research

∙ 04/04/2019

Work Motivational Challenges Regarding the Interface Between Agile Teams and a Non-Agile Surrounding Organization: A case study

There are studies showing what happens if agile teams are introduced int...

0 Lucas Gren, et al. ∙

research

∙ 02/26/2019

Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference

Mutation analysis can effectively capture the dependency between source ...

0 Jinhan Kim, et al. ∙

research

∙ 11/13/2018

Bayesian Data Analysis in Empirical Software Engineering Research

Statistics comes in two main flavors: frequentist and Bayesian. For hist...

0 Carlo A. Furia, et al. ∙

research

∙ 10/15/2018

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

In the context of robustness testing, the boundary between the valid and...

0 Bogdan Marculescu, et al. ∙

research

∙ 10/14/2018

Misaligned Values in Software Engineering Organizations

The values of software organizations are crucial for achieving high perf...

0 Perl Lenberg, et al. ∙

research

∙ 09/26/2018

Arguing Practical Significance in Software Engineering Using Bayesian Data Analysis

This paper provides a case for using Bayesian data analysis (BDA) to mak...

0 Richard Torkar, et al. ∙

research

∙ 08/25/2018

Guiding Deep Learning System Testing using Surprise Adequacy

Deep Learning (DL) systems are rapidly being adopted in safety and secur...

0 Jinhan Kim, et al. ∙

research

∙ 07/15/2018

Visualizing test diversity to support test optimisation

Diversity has been used as an effective criteria to optimise test suites...

0 Francisco Gomes de Oliveira Neto, et al. ∙

research

∙ 05/03/2018

Involving External Stakeholders in Project Courses

Problem: The involvement of external stakeholders in capstone projects a...

0 Jan-Phillip Steghöfer, et al. ∙

research

∙ 04/24/2018

Transferring Interactive Search-Based Software Testing to Industry

Search-Based Software Testing (SBST) is the application of optimization ...

0 Bogdan Marculescu, et al. ∙

research

∙ 03/09/2018

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

Biological evolution provides a creative fount of complex and subtle ada...

0 Joel Lehman, et al. ∙

research

∙ 02/20/2018

A Testability Analysis Framework for Non-Functional Properties

This paper presents background, the basic steps and an example for a tes...

0 Michael Felderer, et al. ∙

research

∙ 02/06/2018

Ways of Applying Artificial Intelligence in Software Engineering

As Artificial Intelligence (AI) techniques have become more powerful and...

0 Robert Feldt, et al. ∙

research

∙ 02/05/2018

Psychological Safety and Norm Clarity in Software Engineering Teams

In the software engineering industry today, companies primarily conduct ...

0 Per Lenberg, et al. ∙

research

∙ 12/22/2017

Behavioral software engineering - guidelines for qualitative studies

Researchers are increasingly recognizing the importance of human aspects...

0 Per Lenberg, et al. ∙

research

∙ 09/18/2017

Searching for test data with feature diversity

There is an implicit assumption in software testing that more diverse an...

0 Robert Feldt, et al. ∙

Robert Feldt

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