scholarly journals Extracting Personalised Ontology from Data-Intensive Web Application: an HTML Forms-Based Reverse Engineering Approach

Informatica ◽  
2007 ◽  
Vol 18 (4) ◽  
pp. 511-534 ◽  
Author(s):  
Sidi Mohamed Benslimane ◽  
Mimoun Malki ◽  
Mustapha Kamal Rahmouni ◽  
Djamal Benslimane
Keyword(s):  
Reverse Engineering ◽  
Web Application ◽  
Data Intensive ◽  
Engineering Approach

Maintaining web application: an ontology‐based reverse engineering approach

2009 ◽  
Vol 5 (4) ◽  
pp. 495-517 ◽  
Author(s):  
Sidi Mohamed Benslimane ◽  
Mimoun Malki ◽  
Djelloul Bouchiha
Keyword(s):  
Reverse Engineering ◽  
Data Model ◽  
Web Application ◽  
Web Applications ◽  
Rapid Evolution ◽  
Domain Ontology ◽  
Conceptual Schema ◽  
Content Type ◽  
Engineering Approach ◽  
Conceptual Data

PurposeWeb applications are subject to continuous changes and rapid evolution triggered by increasing competition, especially in commercial domains such as electronic commerce. Unfortunately, usually they are implemented without producing any useful documentation for subsequent maintenance and evolution. Thereof, the maintenance of such systems becomes a challenging problem as the complexity of the web application grows. Reverse engineering has been heralded as one of the most promising technologies to support effective web application maintenance. This paper aims to present a reverse engineering approach that helps understanding existing undocumented web applications to be maintained or evolved.Design/methodology/approachThe proposed approach provides reverse engineering rules to generate a conceptual schema from a given domain ontology by using a set of transformation rules. The reverse engineering process consists of four phases: extracting useful information; identifying a set of ontological constructs representing the concepts of interest; enriching the identified set by additional constructs; and finally deriving a conceptual schema.FindingsThe advantage of using ontology for conceptual data modeling is the reusability of domain knowledge. As a result, the conceptual data model will be made faster, easier and with fewer errors than creating it in usual way. Designers can use the extracted conceptual schema to gain a better understanding of web applications and to assist in their maintenance.Originality/valueThe strong point of this approach is that it relies on a very rich semantic reference that is domain ontology. However, it is not possible to make a straightforward transformation of all elements from a domain ontology into a conceptual data model because ontology is semantically richer than data conceptual models.

scholarly journals C2AADL_Reverse: A model-driven reverse engineering approach for development and verification of safety-critical software

2021 ◽  
pp. 102202
Author(s):  
Zhibin Yang ◽  
Zhikai Qiu ◽  
Yong Zhou ◽  
Zhiqiu Huang ◽  
Jean-Paul Bodeveix ◽  
...  
Keyword(s):  
Reverse Engineering ◽  
Safety Critical ◽  
Model Driven ◽  
Engineering Approach

Reverse Engineering Approach for NoSQL Databases

2020 ◽  
pp. 60-69
Author(s):  
Fatma Abdelhedi ◽  
Amal Ait Brahim ◽  
Rabah Tighilt Ferhat ◽  
Gilles Zurfluh
Keyword(s):  
Reverse Engineering ◽  
Nosql Databases ◽  
Engineering Approach
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