ESEIW 2022
Sun 18 - Fri 23 September 2022 Helsinki, Finland
Thu 22 Sep 2022 15:45 - 15:55 at Sonck - Session 3B - Registered Reports 1 Chair(s): Sérgio Soares

Background: Dedicated model transformation languages are claimed to provide many benefits over the use of general purpose languages for developing model transformations. However, the actual advantages and disadvantages associated with the use of model transformation languages are poorly understood empirically. There is little knowledge over what advantages and disadvantages hold in which cases and where they originate from. In a prior interview study, we elicited expert opinions on what advantages result from what factors surrounding model transformation languages as well as a number of moderating factors that moderate the influence.

Objective: We aim to quantitatively asses the interview results to confirm or reject the influences and moderation effects posed by different factors and to gain insights into how valuable different factors are to the discussion.

Method: We gather data on the factors and quality attributes using an online survey. To analyse the data and examine the hypothesised influences and moderations we use universal structure modelling based on a structural equation model. Universal structure modelling will produce significance values and path coefficients for each hypothesised and modelled interdependence between factors and quality attributes that can be used to confirm or reject correlation and to weigh the strength of influence present.

Limitations: Due to the complexity and abstractness of the concepts under investigation, a measurement via reflective or formative indicators is not possible. Instead participants are queried about their assessment of concepts through a single item question. We further assume that positive and negative effects of a feature are more prominent if the feature is used more frequently.


Thu 22 Sep

Displayed time zone: Athens change

15:45 - 17:00
Session 3B - Registered Reports 1ESEM Registered Reports at Sonck
Chair(s): Sérgio Soares Universidade Federal de Pernambuco
15:45
10m
The Relevance of Model Transformation Language Features on Qualitative Properties of MTLs: A Study Protocol
ESEM Registered Reports
Stefan Höppner Ulm University, Matthias Tichy Ulm University, Germany
DOI
15:55
10m
On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools
ESEM Registered Reports
Aurora Papotti Vrije Universiteit Amsterdam, Ranindya Paramitha University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam
DOI Pre-print
16:06
10m
Does Road Diversity Really Matter in Testing Automated Driving Systems? A Registered Report
ESEM Registered Reports
Stefan Klikovits , Vincenzo Riccio USI Lugano, Ezequiel Castellano National Institute of Informatics, Ahmet Cetinkaya Shibaura Institute of Technology, Alessio Gambi IMC University of Applied Sciences Krems, Paolo Arcaini National Institute of Informatics
Link to publication
16:17
10m
A Unified and Holistic Classification Scheme for Software Engineering Research
ESEM Registered Reports
Angelika Kaplan Karlsruhe Institute of Technology, Thomas Kühn Karlsruhe Institute of Technology, Ralf Reussner Karlsruhe Institute of Technology (KIT) and FZI - Research Center for Information Technology (FZI)
16:27
10m
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
ESEM Registered Reports
Benjamin Ledel TU Clausthal, Steffen Herbold TU Clausthal
Pre-print
16:38
10m
Team performance and large-scale agile software development
ESEM Registered Reports
Muhammad Ovais Ahmad Karlstad University, Hadi Ghanbari Aalto University, Tomas Gustavsson Karlstad University
16:49
10m
Research paper
Comparative analysis of real bugs in open-source Machine Learning projects - A Registered Report
ESEM Registered Reports
Tuan Dung Lai Deakin University, Anj Simmons Deakin University, Scott Barnett Deakin University, Jean-Guy Schneider Deakin University, Rajesh Vasa Deakin University, Australia
Link to publication Pre-print