NDLI: In-depth measurement and analysis on densification power law of software execution

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In-depth measurement and analysis on densification power law of software execution

Content Provider	ACM Digital Library
Author	Zheng, Qinghua Liu, Ting Li, Jian Qu, Yu Guan, Xiaohong
Abstract	Measuring software execution is important for many software engineering tasks. In this paper, Densification Power Law (DPL) of software execution is measured and studied as a feature of growing software complexity. Densification means that during a networked system's evolution, it usually becomes denser and the number of edges and nodes grows with a consistent super linear relation. This feature was discovered and reported in 2005. In this paper, based on a measurement of 15 open-source Java programs, we show that when software systems are modeled as a series of dynamic Call Graphs during their executions, they always obey DPL with very close correlation. Then a comparison between static Call Graph and DPL is presented, showing that DPL's properties cannot be derived statically. An explanation for DPL of software execution is given and verified. We believe the universality of DPL makes it an appropriate metric for software execution process. .
Starting Page	55
Ending Page	58
Page Count	4
File Format	PDF
ISBN	9781450328548
DOI	10.1145/2593868.2593878
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-06-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Software metrics Software execution Densification power law
Content Type	Text
Resource Type	Article

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