This Doesn't Work! An Explorative Study on Student Modeling Skills in the Context of Developing Hybrid Methods.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Organisationseinheiten

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksECSEE
Seiten169-179
Seitenumfang11
ISBN (elektronisch)9781450399562
PublikationsstatusVeröffentlicht - 2023

Publikationsreihe

NameACM International Conference Proceeding Series

Abstract

For large-scale processes as implemented in organizations that develop software in regulated domains, comprehensive software process models are implemented, e.g., for compliance requirements. Creating and evolving such processes is demanding and requires software engineers having substantial modeling skills to create consistent and certifiable processes. While teaching process engineering to students, we observed issues in providing and explaining models. In this paper, we present an exploratory study in which we aim to shed light on the challenges students face when it comes to modeling. Our findings show that students are capable of doing basic modeling tasks, yet, fail in utilizing models correctly. We conclude that the required skills, notably abstraction and solution development, are underdeveloped due to missing practice and routine. Since modeling is key to many software engineering disciplines, we advocate for intensifying modeling activities in teaching.

ASJC Scopus Sachgebiete

Zitieren

This Doesn't Work! An Explorative Study on Student Modeling Skills in the Context of Developing Hybrid Methods. / Kuhrmann, Marco; Klünder, Jil.
ECSEE. 2023. S. 169-179 (ACM International Conference Proceeding Series).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Kuhrmann M, Klünder J. This Doesn't Work! An Explorative Study on Student Modeling Skills in the Context of Developing Hybrid Methods. in ECSEE. 2023. S. 169-179. (ACM International Conference Proceeding Series). Epub 2023 Jun 19. doi: 10.1145/3593663.3593688
Kuhrmann, Marco ; Klünder, Jil. / This Doesn't Work! An Explorative Study on Student Modeling Skills in the Context of Developing Hybrid Methods. ECSEE. 2023. S. 169-179 (ACM International Conference Proceeding Series).
Download
@inproceedings{c1fa7affdee447269c6473b1dd1b3e9d,
title = "This Doesn't Work!: An Explorative Study on Student Modeling Skills in the Context of Developing Hybrid Methods.",
abstract = "For large-scale processes as implemented in organizations that develop software in regulated domains, comprehensive software process models are implemented, e.g., for compliance requirements. Creating and evolving such processes is demanding and requires software engineers having substantial modeling skills to create consistent and certifiable processes. While teaching process engineering to students, we observed issues in providing and explaining models. In this paper, we present an exploratory study in which we aim to shed light on the challenges students face when it comes to modeling. Our findings show that students are capable of doing basic modeling tasks, yet, fail in utilizing models correctly. We conclude that the required skills, notably abstraction and solution development, are underdeveloped due to missing practice and routine. Since modeling is key to many software engineering disciplines, we advocate for intensifying modeling activities in teaching.",
keywords = "Software development, modeling, software process",
author = "Marco Kuhrmann and Jil Kl{\"u}nder",
year = "2023",
doi = "10.1145/3593663.3593688",
language = "English",
series = "ACM International Conference Proceeding Series",
pages = "169--179",
booktitle = "ECSEE",

}

Download

TY - GEN

T1 - This Doesn't Work!

T2 - An Explorative Study on Student Modeling Skills in the Context of Developing Hybrid Methods.

AU - Kuhrmann, Marco

AU - Klünder, Jil

PY - 2023

Y1 - 2023

N2 - For large-scale processes as implemented in organizations that develop software in regulated domains, comprehensive software process models are implemented, e.g., for compliance requirements. Creating and evolving such processes is demanding and requires software engineers having substantial modeling skills to create consistent and certifiable processes. While teaching process engineering to students, we observed issues in providing and explaining models. In this paper, we present an exploratory study in which we aim to shed light on the challenges students face when it comes to modeling. Our findings show that students are capable of doing basic modeling tasks, yet, fail in utilizing models correctly. We conclude that the required skills, notably abstraction and solution development, are underdeveloped due to missing practice and routine. Since modeling is key to many software engineering disciplines, we advocate for intensifying modeling activities in teaching.

AB - For large-scale processes as implemented in organizations that develop software in regulated domains, comprehensive software process models are implemented, e.g., for compliance requirements. Creating and evolving such processes is demanding and requires software engineers having substantial modeling skills to create consistent and certifiable processes. While teaching process engineering to students, we observed issues in providing and explaining models. In this paper, we present an exploratory study in which we aim to shed light on the challenges students face when it comes to modeling. Our findings show that students are capable of doing basic modeling tasks, yet, fail in utilizing models correctly. We conclude that the required skills, notably abstraction and solution development, are underdeveloped due to missing practice and routine. Since modeling is key to many software engineering disciplines, we advocate for intensifying modeling activities in teaching.

KW - Software development

KW - modeling

KW - software process

UR - http://www.scopus.com/inward/record.url?scp=85163465537&partnerID=8YFLogxK

U2 - 10.1145/3593663.3593688

DO - 10.1145/3593663.3593688

M3 - Conference contribution

T3 - ACM International Conference Proceeding Series

SP - 169

EP - 179

BT - ECSEE

ER -

Von denselben Autoren