发明名称 |
DESIGN RULE SPACES AND ARCHITECTURE ROOT DETECTION |
摘要 |
Errors in software may be detected via the use of design rule spaces and architecture root detection. Design rule spaces may reveal multiple overlapping modular structures of a software system, and reveal structural relations among error-prone files and structural problems contributing to error-proneness. Root detection may extract a few groups of architecturally connected files, which may be connected through problematic architecture relations that propagate errors among these files, and thus influence system error-proneness. The root detector may locate the core architecturally connected file groups that contribute to the error-proneness of a system. The root detection process may, beginning with a set of error-prone files, search and link other files that are architecturally related. The output of the root detection process may be a set of design rule spaces ordered by the number of error-prone contained therein. |
申请公布号 |
US2016203071(A1) |
申请公布日期 |
2016.07.14 |
申请号 |
US201414916691 |
申请日期 |
2014.09.19 |
申请人 |
DREXEL UNIVERSITY |
发明人 |
CAI Yuanfang;XIAO Lu |
分类号 |
G06F11/36;G06F9/45 |
主分类号 |
G06F11/36 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
analyzing, via a processor, a software architecture utilizing a dependency graph comprising vertices indicative of a plurality of files, wherein:
edges of the dependency graph are indicative of relationships between files of the plurality of files;at least one of the relationships between the files of the plurality of files is indicative of a primary relation;the dependency graph is indicative of a design rule hierarchy based on at least one primary relation; determining, based on the analyzing, an error proneness of at least one file of the plurality of files; and visually rendering an indication of the error proneness. |
地址 |
Philadelphia PA US |