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| Content Provider | Springer Nature Link |
|---|---|
| Author | Traverso, Martin Mancoridis, Spiros |
| Copyright Year | 2002 |
| Abstract | The cost of maintaining a software system over a long period of time far exceeds its initial development cost. Much of the maintenance cost is attributed to the time required by new developers to understand legacy systems. High-level structural information helps maintainers navigate through the numerous low-level components and relations present in the source code. Modularization tools can be used to produce subsystem decompositions from the source code but do not typically produce high-level architectural relations between the newly found subsystems. Controlling subsystem interactions is one important way in which the overall complexity of software maintenance can be reduced.We have developed a tool, called ARIS (Architecture Relation Inference System), that enables software engineers to define rules and relations for regulating subsystem interactions. These rules and relations are called Interconnection Styles and are definedusing a visual notation. The style definition is used by our tool to infer subsystem-level relations in designs being reverse engineered from source code.In this paper we describe our tool and its underlying techniques and algorithms. Using a case study, we describe how ARIS is used to reverse engineer high-level structural information from a real application. |
| Starting Page | 331 |
| Ending Page | 360 |
| Page Count | 30 |
| File Format | |
| ISSN | 09288910 |
| Journal | Automated Software Engineering |
| Volume Number | 9 |
| Issue Number | 4 |
| e-ISSN | 15737535 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2002-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Software |
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