Abnormity detection method and system for developer behaviors in open source community and medium

An anomaly detection and developer technology, applied in the field of anomaly detection of developer behavior in the open source community, it can solve the problem of unsupervised anomaly identification method without multi-dimensional development behavior, and achieve the effect of reducing risk and improving certainty.

Active Publication Date: 2020-07-28
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

At present, there is no unsupervised anomaly identification method for the mul

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  • Abnormity detection method and system for developer behaviors in open source community and medium
  • Abnormity detection method and system for developer behaviors in open source community and medium
  • Abnormity detection method and system for developer behaviors in open source community and medium

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to protection domain of the present invention.

[0039] Please refer to figure 1 , the present invention is realized through the following technical solutions:

[0040] An abnormal prediction method for developer behavior in an open source community, mainly including: formation of multi-dimensional behavior sequences of other developers and developers to be detected, discretization of behavior sequence data, mining process of frequent itemsets and frequent sequence sets, and detection sequences Distance calculation with frequent sets, abnormal judgment ...

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Abstract

The invention provides an abnormity detection method and system for developer behaviors in an open source community and a medium. The abnormity detection method comprises: a sequence construction step, i.e., constructing time sequences of different behavior times according to the developer behaviors; a behavior data discretization step, i.e., dividing the behavior frequency time sequence into different categories of which the differences in intervals are lower than a preset range and the differences between the intervals are higher than the preset range, and reaching a preset category number;a behavior frequent sequence mining step, i.e., performing behavior frequent sequence mining on the behavior sequences of other personnel and the historical behavior sequence of the to-be-detected person; and a behavior abnormality judgment step, i.e., judging whether the behavior of the developer is abnormal or not. According to the invention, the determinacy of the open source project is improved, and the project progress risk is reduced; and, according to the invention, historical data can be traced back, and past abnormal data can be identified.

Description

technical field [0001] The present invention relates to the technical field of abnormal behavior detection, in particular, to a method, system and medium for abnormal detection of developer behavior in an open source community. Background technique [0002] Open source software has become the mainstream way of software development. Developers contribute in various ways in these open source communities, promoting the development of open source software. At the same time, the enthusiasm of many developers to participate is not stable, and some abnormal phenomena often appear in the development behavior of developers. These anomalies bring uncertainty to open source projects and often lead to project progress risks; on the other hand, some anomalies also mean opportunities for timely adjustments to projects, so it is necessary to detect abnormal development behaviors of developers in a timely manner. There are many types of developer behavior in the open source community, and...

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F11/3688Y02D10/00
Inventor 曹健童兰轩钱诗友
Owner SHANGHAI JIAO TONG UNIV
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