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Empirical Analysis of the Complexity Evolution in Open-Source Software Systems
Mamdouh Alenezi,Khaled Almustafa 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2
When the software system evolves, its scale is increasingly growing to the degree where it is very hard to handle. Measuring the internal quality of the source code is one of the goals of making software development an engineering practice. Source Lines of Code (SLOC) and Cyclomatic Complexity (CC) are usually considered indicators of the complexity of a software system. Software complexity is an essential characteristic of a software system where it plays an important role in its success or failure. Although understanding the complexity is very important, yet it is not clear how complexity evolves in open source systems. In this paper, we study the complexity evolution of five open source projects from different domains. We analyze the growth of ten releases of these systems and show how complexity evolves over time. We then show how these systems conform to the second Lehman's law of software evolution.
Estimation of Packet Loss on MAC Layer in IEEE 802.11 Wireless Local Area Networks
Shafi Shahsavar Mirza,Khaled M. Almustafa 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.2
In wireless local area networks, management decisions concerning channel selection, rate selection, and power management have a profound impact on the throughput performance, particularly in dense areas. These measurements, however, are too weakly associated with the MAC layer to be able to make such management decisions. Therefore, direct measurements of the channel quality at the MAC layer are necessary to facilitate appropriate decision-making activities. Estimating quantities, such as the probability of collision and the probability of channel-induced errors, will enable the MAC layer to make suitable decisions1. This paper proposes a mechanism to calculate both the channel error probability and collision probability through the methodology of distribution. Some scenarios are discussed to demonstrate the effectiveness of the measurements.