An Architectural Smells Detection Tool for C and C plus plus projects

被引：15

作者：

Biaggi, Andrea ^{[1
]}

Fontana, Francesca Arcelli ^{[1
]}

Roveda, Riccardo ^{[1
]}

机构：

[1] Univ Milano Bicocca, Milan, Italy

来源：

44TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2018) | 2018年

关键词：

Architectural Smells; Architectural Technical Debt; Software Architecture Evaluation; Standard C; C plus;

D O I：

10.1109/SEAA.2018.00074

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Architectural smells gained great attention in the past few years since they directly affect software quality and increase architectural technical debt. However, while it is straightforward to understand why they are important, it is more difficult to find techniques and tools to detect and remove architectural smells. The purpose of this paper is to introduce an open-source tool for automatic architectural smells detection for C/C++ projects, by creating an abstraction of the project and defining the concept of dependency between elements belonging to the project in order to identify architectural smells. The tool has been validated on some open-source projects with promising results.

引用

页码：417 / 420

页数：4

共 50 条

[21] When Not to Comment Questions and Tradeoffs with API Documentation for C plus plus Projects
Head, Andrew
Sadowski, Caitlin
Murphy-Hill, Emerson
Knight, Andrea
PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE), 2018, : 643 - 653
[22] A survey of tagged union type usage in modern C plus plus projects
Spaits, Gabor
Umann, Kristof
Porkolab, Zoltan
2024 7TH INTERNATIONAL CONFERENCE ON SOFTWARE AND SYSTEM ENGINEERING, ICOSSE 2024, 2024, : 31 - 36
[23] Implementation of an Obfuscation Tool for C/C plus plus Source Code Protection on the XScale Architecture
Cho, Seongje
Chang, Hyeyoung
Cho, Yookun
SOFTWARE TECHNOLOGIES FOR EMBEDDED AND UBIQUITOUS SYSTEMS, PROCEEDINGS, 2008, 5287 : 406 - +
[24] Tool for Detecting Standardwise Differences in C plus plus Legacy Code
Brunner, Tibor
Pataki, Norbert
Porkolab, Zoltan
2015 IEEE 13TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATICS, 2015, : 51 - 56
[25] Detection of Memory Leaks in C/C plus plus Code via Machine Learning
Andrzejak, Artur
Eichler, Felix
Ghanavati, Mohammadreza
2017 IEEE 28TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING WORKSHOPS (ISSREW 2017), 2017, : 252 - 258
[26] Vulnerability Detection in C/C plus plus Source Code With Graph Representation Learning
Wu, Yuelong
Lu, Jintian
Zhang, Yunyi
Jin, Shuyuan
2021 IEEE 11TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2021, : 1519 - 1524
[27] Static Analysis Approach for Defect Detection in Multithreaded C/C plus plus Programs
Moiseev, Mikhail
SOFTWARE ENGINEERING FOR RESILIENT SYSTEMS, SERENE 2013, 2013, 8166 : 169 - 183
[28] CoBOT: Static C/C plus plus Bug Detection in the Presence of Incomplete Code
Gao, Qing
Zhang, Shikun
Chen, Xianglong
Ma, Sen
Shao, Sihao
Sui, Yulei
Zhao, Guoliang
Ma, Luyao
Ma, Xiao
Duan, Fuyao
Deng, Xiao
2018 IEEE/ACM 26TH INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION (ICPC 2018), 2018, : 385 - 388
[29] Locust: C plus plus software for simulation of RF detection
Esfahani, A. Ashtari
Boeser, S.
Buzinsky, N.
Cervantes, R.
Claessens, C.
de Viveiros, L.
Fertl, M.
Formaggio, J. A.
Gladstone, L.
Guigue, M.
Heeger, K. M.
Johnston, J.
Jones, A. M.
Kazkaz, K.
LaRoque, B. H.
Lindman, A.
Machado, E.
Monreal, B.
Morrison, E. C.
Nikkel, J. A.
Novitski, E.
Oblath, N. S.
Pettus, W.
Robertson, R. G. H.
Rybka, G.
Saldana, L.
Sibille, V
Schram, M.
Slocum, P. L.
Sun, Y-H
Tedeschi, J. R.
Thuemmler, T.
VanDevender, B. A.
Wachtendonk, M.
Walter, M.
Weiss, T. E.
Wendler, T.
Zayas, E.
NEW JOURNAL OF PHYSICS, 2019, 21 (11):
[30] Local Nontermination Detection for Parallel C plus plus Programs
Still, Vladimir
Barnat, Jiri
SOFTWARE ENGINEERING AND FORMAL METHODS (SEFM 2019), 2019, 11724 : 373 - 390

← 1 2 3 4 5 →