Bericht
Low code platforms: Promises, concepts and prospects. A comparative study of ten systems
In recent years, the catchword "low-code" has evolved into what can be seen as a major trend in software development platforms. A growing number of vendors respond to this trend by offering software development platforms that promise limited need for coding only and a tre- mendous boost in productivity. Both aspects have been the subject of intensive research over many years in areas such as domain-specific modeling languages, model-driven software de- velopment, or generative programming. Therefore, the obvious question is how ”low code” platforms differ from such approaches and what specific performance features they offer. Since there is no unified definition of "low-code", the only way to develop an elaborate un- derstanding of what it is - and might be - is to analyze the actual use of the term. For obvious reasons, it is not promising in this respect to rely on marketing announcements made by ven- dors. Instead, it seems more appropriate to examine "low-code" platforms. This research re- port presents a study of 10 relevant platforms, capturing and assessing common characteristics as well as specific features of individual tools. The study is guided by a method that consists of a conceptual framework, which provides a uniform structure to describe and compare "low- code" platforms, and a process model that describes the sequence of steps.
- Language
-
Englisch
- Bibliographic citation
-
Series: ICB-Research Report ; No. 70
- Classification
-
Management
- Event
-
Geistige Schöpfung
- (who)
-
Frank, Ulrich
Maier, Pierre
Bock, Alexander
- Event
-
Veröffentlichung
- (who)
-
Universität Duisburg-Essen, Institut für Informatik und Wirtschaftsinformatik (ICB)
- (where)
-
Essen
- (when)
-
2021
- DOI
-
doi:10.17185/duepublico/75244
- Handle
- URN
-
urn:nbn:de:hbz:464-20211228-082939-0
- Last update
-
13.10.2025, 4:01 AM CEST
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Bericht
Associated
- Frank, Ulrich
- Maier, Pierre
- Bock, Alexander
- Universität Duisburg-Essen, Institut für Informatik und Wirtschaftsinformatik (ICB)
Time of origin
- 2021