The Community for Technology Leaders
RSS Icon
March 5, 2013 to March 8, 2013
ISBN: 978-1-4673-5833-0
pp: 177-186
Research has shown that code anomalies may be related to problems in the architecture design. Without proper mechanisms to support the identification of architecturally-relevant code anomalies, software systems will degrade and might be discontinued as a consequence. Nowadays, metrics-based detection strategy is the most common mechanism to identify code anomalies. However, these strategies often fail to detect architecturally-relevant code anomalies. A key limitation is that they solely exploit measurable static properties of the source code. This paper proposes and evaluates a suite of architecture-sensitive detection strategies. These strategies exploit information related to how fully-modularized and widely-scoped architectural concerns are realized by the code elements. The accuracy of the proposed detection strategies is assessed in a sample of nearly 3500 architecturally-relevant code anomalies and 950 architectural problems distributed in 6 software systems. Our findings show that more than the 60% of code anomalies detected by the proposed strategies were related to architectural problems. Additionally, the proposed strategies identified on average 50% more architecturally-relevant code anomalies than those gathered with using conventional strategies.
architectural problem, detection strategy, architecturally-relevant code anomaly, architecture-sensitive metric
Isela Macia, Alessandro Garcia, Christina Chavez, Arndt von Staa, "Enhancing the Detection of Code Anomalies with Architecture-Sensitive Strategies", CSMR, 2013, 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013), 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013) 2013, pp. 177-186, doi:10.1109/CSMR.2013.27
27 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool