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Complex Network Thinking in Software Engineering

Authors: Deyi Li; Yanni Han; Jun Hu;

Complex Network Thinking in Software Engineering

Abstract

The booming of Internet has brought new challenges to software engineering. In the network age, software industry has undergone a transition from manufacturing industry to the service trade, software doesnpsilat have clear hierarchy structure, specific life cycle and definite system border any longer. On the contrary, both software itself and the environment it works in are all networked. In this paper, we explore an idea of software engineering from the perspective of complex networks. First, we present a skeletal description to abstract software structure into network topology. Evidence shows that software systems have the characteristics of small world, scale-free and high clustering. Then we point out three aspects of the influence to software engineering based on the characteristics of complex network. Finally, the most promising development trend of software engineering in the future is predicted.

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    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Top 10%
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