2016
Casteleyn, Sven; Dolog, Peter; Pautasso, Cesare (Ed.)
Current Trends in Web Engineering Book
Springer, ICWE 2016 International Workshops, DUI, TELERISE, SoWeMine, and Liquid Web, Lugano, Switzerland, June 6-9, 2016. Revised Selected Papers, 2016, ISBN: 978-3-319-46962-1.
Abstract | Links | BibTeX | Tags: computer science, data mining, data protection, trends, web engineering
@book{Casteleyn2016,
title = {Current Trends in Web Engineering},
editor = {Sven Casteleyn and Peter Dolog and Cesare Pautasso},
url = {http://www.bookmetrix.com/detail/book/d8a3ed51-b464-4c8f-b08b-277c647c4b24#downloads
http://link.springer.com/book/10.1007%2F978-3-319-46963-8},
doi = {10.1007/978-3-319-46963-8},
isbn = {978-3-319-46962-1},
year = {2016},
date = {2016-06-06},
volume = {9881},
address = {ICWE 2016 International Workshops, DUI, TELERISE, SoWeMine, and Liquid Web, Lugano, Switzerland, June 6-9, 2016. Revised Selected Papers},
edition = {Springer},
abstract = {The International Conference on Web Engineering (ICWE) aims to promote research and scientific exchange related to Web engineering, and to bring together researchers and practitioners from various disciplines in academia and industry in order to tackle emerging challenges in the engineering of Web applications and associated technologies, as well as to assess the impact of these technologies on society, media, and culture.},
keywords = {computer science, data mining, data protection, trends, web engineering},
pubstate = {published},
tppubtype = {book}
}
The International Conference on Web Engineering (ICWE) aims to promote research and scientific exchange related to Web engineering, and to bring together researchers and practitioners from various disciplines in academia and industry in order to tackle emerging challenges in the engineering of Web applications and associated technologies, as well as to assess the impact of these technologies on society, media, and culture.
Zubcoff, José Jacobo; Garrigós, Irene; Casteleyn, Sven; Mazón, Jose Norberto; Aguilar, José Alfonso
Evaluating the use of Pareto Efficiency to Optimize Non-Functional Requirements Satisfaction in i * Modeling Journal Article
In: IEEE Lantin Amrica Transactions, vol. 14, no. 1, pp. 331-338, 2016, ISSN: 1548-0992, (IF: 0.631 135/146 (Q4) Computer science – information Systems 0.631 221/260 (Q4) Engineering, electrical, electronics ).
Abstract | Links | BibTeX | Tags: web engineering
@article{Zubcoff2016,
title = {Evaluating the use of Pareto Efficiency to Optimize Non-Functional Requirements Satisfaction in i * Modeling},
author = { José Jacobo Zubcoff and Irene Garrigós and Sven Casteleyn and Jose Norberto Mazón and José Alfonso Aguilar},
url = {http://hdl.handle.net/10234/159791},
issn = {1548-0992},
year = {2016},
date = {2016-01-01},
journal = {IEEE Lantin Amrica Transactions},
volume = {14},
number = {1},
pages = {331-338},
abstract = {Due to the large, heterogeneous audience of Web applications, and its rapidly changing expectations, holistic requirement analysis approaches are crucial to ensure the success of Web engineering projects. To increase the quality of resulting Web applications, non-functional requirements (NFRs) must be considered. Satisfying them is a non-trivial task that depends on making decisions about which functional requirements (FRs) to implement, and how to prioritize the NFRs. A satisfactory solution is a trade-off, where competing NFRs must be balanced. In this paper, we outline how the Pareto efficiency can complement a goal-oriented requirement analysis modelling to evaluate and select optimal configurations of requirements for a Web application, while NFRs are balanced and maximized according to a priority list. We hereby focus on an empirical evaluation to verify whether our Pareto method improves the accuracy of design decisions during the requirements analysis phase, and/or if it reduces the time needed by designers.},
note = {IF: 0.631 135/146 (Q4) Computer science – information Systems
0.631 221/260 (Q4) Engineering, electrical, electronics
},
keywords = {web engineering},
pubstate = {published},
tppubtype = {article}
}
Due to the large, heterogeneous audience of Web applications, and its rapidly changing expectations, holistic requirement analysis approaches are crucial to ensure the success of Web engineering projects. To increase the quality of resulting Web applications, non-functional requirements (NFRs) must be considered. Satisfying them is a non-trivial task that depends on making decisions about which functional requirements (FRs) to implement, and how to prioritize the NFRs. A satisfactory solution is a trade-off, where competing NFRs must be balanced. In this paper, we outline how the Pareto efficiency can complement a goal-oriented requirement analysis modelling to evaluate and select optimal configurations of requirements for a Web application, while NFRs are balanced and maximized according to a priority list. We hereby focus on an empirical evaluation to verify whether our Pareto method improves the accuracy of design decisions during the requirements analysis phase, and/or if it reduces the time needed by designers.