Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Francesca Arcelli Fontana"'
Publikováno v:
IEEE Access, Vol 5, Pp 14516-14542 (2017)
This paper explores and describes the state of the art for what concerns the model-driven approaches proposed in the literature to support reverse engineering. We conducted a systematic literature review on this topic with the aim to answer three res
Externí odkaz:
https://doaj.org/article/96b8f1e4ef0f4dd78d818110e7dd3579
The detection of performance issues in Java-based applications is not trivial since many factors concur to poor performance, and software engineers are not sufficiently supported for this task. The goal of this manuscript is the automated detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f3f7d3ebffe9e6dbefcda88e327fcb1
https://hdl.handle.net/10281/416337
https://hdl.handle.net/10281/416337
Publikováno v:
Ieee software, 38(6), 35-41. IEEE COMPUTER SOC
Architectural Technical Debt (ATD) is considered as the most significant type of TD in industrial practice. In this study, we interview 21 software engineers and architects to investigate a specific type of ATD, namely architectural smells (AS). Our
Publikováno v:
2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
Autor:
Amleto Di Salle, Alessandra Rota, Phuong T. Nguyen, Davide Di Ruscio, Francesca Arcelli Fontana, Irene Sala
Publikováno v:
Proceedings of the International Conference on Technical Debt.
During the development phase, software programmers usually introduce code that contains issues intentionally left for additional treatment. To allow for future fixing, they mark such code using textual comments, resulting in Self-Admitted Technical D
Autor:
Antonio Martini, Davide Taibi, Nyyti Saarimäki, Ilaria Pigazzini, Apostolos Ampatzoglou, Athanasia Moschou, Darius Sas, Saulo Soares de Toledo, Paris Avgeriou, Francesca Arcelli Fontana, Terese Besker, Angeliki Agathi Tsintzira, Alexander Chatzigeorgiou, Valentina Lenarduzzi
Publikováno v:
Ieee software, 38(3), 61-71. IEEE COMPUTER SOC
There are numerous commercial tools and research prototypes that offer support for measuring technical debt. However, different tools adopt different terms, metrics, and ways to identify and measure technical debt. These tools offer diverse features,
Publikováno v:
Journal of Software: Evolution and Process, 34(1):e2398. Wiley
Although architectural smells are one of the most studied type of architectural technical debt, their impact on maintenance effort has not been thoroughly investigated. Studying this impact would help to understand how much technical debt interest is
Autor:
Filomena Ferrucci, Gemma Catolino, Andrea De Lucia, Andy Zaidman, Fabio Palomba, Francesca Arcelli Fontana
Publikováno v:
Empirical Software Engineering, 25 (2020)
Code smells are sub-optimal implementation choices applied by developers that have the effect of negatively impacting, among others, the change-proneness of the affected classes. Based on this consideration, in this paper we conjecture that code smel
Publikováno v:
EASE
Due to limited time, budget or resources, a team is prone to introduce code that does not follow the best software development practices. This code that introduces instability in the software projects is known as Technical Debt (TD). Often, TD intent