SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:su-218298"
 

Sökning: id:"swepub:oai:DiVA.org:su-218298" > A First Validation ...

A First Validation of the Enterprise Architecture Debts Concept

Hacks, Simon, 1988- (författare)
Stockholms universitet,Institutionen för data- och systemvetenskap
Jung, Jürgen (författare)
Frankfurt University of Applied Sciences, Frankfurt, Germany
 (creator_code:org_t)
Springer, 2023
2023
Engelska.
Ingår i: Enterprise, Business-Process and Information Systems Modeling. - : Springer. - 9783031342417 - 9783031342400 ; , s. 217-226
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • The Enterprise Architecture (EA) discipline is now established in many companies. The architectures of these companies changed over time. They resulted from a long creation and maintenance process containing processes and services provided by legacy IT systems (e.g., systems, applications) that were reasonable when they were created but might now hamper the introduction of better solutions. To handle those legacies, we started researching on the notion of EA debts, which widens the scope of technical debts to organizational aspects. However, no studies have yet been conducted to validate if the concept of EA debts has a positive influence. Within this work, we have experimented with students of an EA course. Half of the students were taught the concept of EA debts, while the other half was taught about another topic simultaneously. Afterward, the students performed a modeling task graded by EA experts among the criteria of effectiveness, comprehensibility, minimality, and completeness. The analysis revealed no significant difference between the quality of the created models by the different student groups.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Nyckelord

Enterprise Architecture Debts
Concept Validation
Experiment
data- och systemvetenskap
Computer and Systems Sciences

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Hitta mer i SwePub

Av författaren/redakt...
Hacks, Simon, 19 ...
Jung, Jürgen
Om ämnet
NATURVETENSKAP
NATURVETENSKAP
och Data och informa ...
och Systemvetenskap ...
Artiklar i publikationen
Enterprise, Busi ...
Av lärosätet
Stockholms universitet

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy