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In this paper, we motivate the usage of natural language processing techniques to detect the uncertainty cues in the software architecture documents. As an initial step of our study, we analyzed three real-world software architecture documents and manually retrieved examples of different types of uncertainties. Based on those examples, we formulated the hypothesis on how the communication of software...
Modern software systems are becoming increasingly complex, relying on a lot of third-party library support. Library behaviors are hence an integral part of software behaviors. Analyzing them is as important as analyzing the software itself. However, analyzing libraries is highly challenging due to the lack of source code, implementation in different languages, and complex optimizations. We observe...
Testing of product is perform to discover or detect the errors and defects in the developed system. But testing is usually time consuming especially when complex projects are canvass. Testing of a product lead off with generation of test cases. The Test case generation are based on three parts coding, design and specification. The Specification based testing deals with generation of test cases from...
Knowledge management plays a central role in many software development organizations. While much of the important technical knowledge can be captured in documentation, there often exists a gap between the information needs of software developers and the documentation structure. To help developers navigate documentation, we developed a technique for automatically extracting tasks from software documentation...
Software engineers have successfully used Natural Language Processing for refactoring source code. Conversely, in this paper we investigate the possibility to apply software refactoring techniques to textual content. As a procedural program is composed of functions calling each other, a document can be modeled as content fragments connected each other through links. Inspired by software engineering...
Maintaining modern software requires significant tool support. Effective tools exploit a variety of information and techniques to aid a software maintainer. One area of recent interest in tool development exploits the natural language information found in source code. Such Information Retrieval (IR) based tools compliment traditional static analysis tools and have tackled problems, such as feature...
Modern large-scale software development is a complex undertaking and coordinating various processes is crucial to achieve efficiency. The alignment between requirements and test activities is one very important aspect. Production and maintenance of software result in an ever-increasing amount of information. To be able to work efficiently under such circumstances, navigation in all available data...
We propose an ontology-based technique for recovering trace ability links between a natural language sentence specifying features of a software product and the source code of the product. Some software products have been released without detailed documentation. To automatically detect code fragments associated with sentences describing a feature, the relations between source code structures and problem...
Often stakeholders, such as developers, managers, or buyers, want to find out what software development processes are being followed within a software project. Their reasons include: CMM and ISO 9000 compliance, process validation, management, acquisitions, and business intelligence. Recovering the software development processes from an existing project is expensive if one must rely upon manual inspection...
Typically, software libraries provide API documentation, through which developers can learn how to use libraries correctly. However, developers may still write code inconsistent with API documentation and thus introduce bugs, as existing research shows that many developers are reluctant to carefully read API documentation. To find those bugs, researchers have proposed various detection approaches...
This paper proposes an ontology-based technique for recovering traceability links between a natural language sentence specifying features of a software product and the source code of the product. Some software products have been released without detailed documentation. To automatically detect code fragments associated with the functional descriptions written in the form of simple sentences, the relationships...
The software lexicon is an important source of information during program comprehension activities and it has been in the focus of several recent case studies. Identifiers and comments, which constitute a lexicon in software, encode domain concepts and design decisions made by programmers. The paper presents an exploratory study that investigates regularities in the software lexicons of open-source...
Documents written in natural languages constitute a major part of the artefacts produced during the software engineering life cycle. Especially during software maintenance or reverse engineering, semantic information conveyed in these documents can provide important knowledge for the software engineer. A text mining system capable of populating a software ontology with information detected in documents...
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