Issues in Applying Empirical Software Engineering to Software Architecture

2007 ◽  
pp. 257-262 ◽  
Author(s):  
Davide Falessi ◽  
Philippe Kruchten ◽  
Giovanni Cantone
Keyword(s):  
Software Engineering ◽  
Software Architecture ◽  
Empirical Software Engineering

scholarly journals Applying empirical software engineering to software architecture: challenges and lessons learned

2009 ◽  
Vol 15 (3) ◽  
pp. 250-276 ◽  
Author(s):  
Davide Falessi ◽  
Muhammad Ali Babar ◽  
Giovanni Cantone ◽  
Philippe Kruchten
Keyword(s):  
Software Engineering ◽  
Software Architecture ◽  
Lessons Learned ◽  
Empirical Software Engineering

The role of replications in Empirical Software Engineering

2008 ◽  
Vol 13 (2) ◽  
pp. 211-218 ◽  
Author(s):  
Forrest J. Shull ◽  
Jeffrey C. Carver ◽  
Sira Vegas ◽  
Natalia Juristo
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering

Evaluating guidelines for empirical software engineering studies

2006 ◽  
Author(s):  
Barbara Kitchenham ◽  
Liming Zhu ◽  
Hiyam Al-Khilidar ◽  
Muhammad Ali Babar ◽  
Mike Berry ◽  
...  
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering ◽  
Engineering Studies

DATAtourist

2021 ◽  
Vol 13 (2) ◽  
pp. 62-84
Author(s):  
Boudjemaa Boudaa ◽  
Djamila Figuir ◽  
Slimane Hammoudi ◽  
Sidi mohamed Benslimane
Keyword(s):  
Software Engineering ◽  
Knowledge Acquisition ◽  
Software Architecture ◽  
Recommender Systems ◽  
Real World ◽  
Mobile Application ◽  
Knowledge Bases ◽  
User Requirements ◽  
World Knowledge ◽  
Points Of Interest

Collaborative and content-based recommender systems are widely employed in several activity domains helping users in finding relevant products and services (i.e., items). However, with the increasing features of items, the users are getting more demanding in their requirements, and these recommender systems are becoming not able to be efficient for this purpose. Built on knowledge bases about users and items, constraint-based recommender systems (CBRSs) come to meet the complex user requirements. Nevertheless, this kind of recommender systems witnesses a rarity in research and remains underutilised, essentially due to difficulties in knowledge acquisition and/or in their software engineering. This paper details a generic software architecture for the CBRSs development. Accordingly, a prototype mobile application called DATAtourist has been realized using DATAtourisme ontology as a recent real-world knowledge source in tourism. The DATAtourist evaluation under varied usage scenarios has demonstrated its usability and reliability to recommend personalized touristic points of interest.

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