352 research outputs found
Automating Requirements Traceability: Two Decades of Learning from KDD
This paper summarizes our experience with using Knowledge Discovery in Data
(KDD) methodology for automated requirements tracing, and discusses our
insights.Comment: The work of the second author has been supported in part by NSF
grants CCF-1511117 and CICI 1642134; 4 pages; in Proceedings of IEEE
Requirements Engineering 201
Grand Challenges of Traceability: The Next Ten Years
In 2007, the software and systems traceability community met at the first
Natural Bridge symposium on the Grand Challenges of Traceability to establish
and address research goals for achieving effective, trustworthy, and ubiquitous
traceability. Ten years later, in 2017, the community came together to evaluate
a decade of progress towards achieving these goals. These proceedings document
some of that progress. They include a series of short position papers,
representing current work in the community organized across four process axes
of traceability practice. The sessions covered topics from Trace Strategizing,
Trace Link Creation and Evolution, Trace Link Usage, real-world applications of
Traceability, and Traceability Datasets and benchmarks. Two breakout groups
focused on the importance of creating and sharing traceability datasets within
the research community, and discussed challenges related to the adoption of
tracing techniques in industrial practice. Members of the research community
are engaged in many active, ongoing, and impactful research projects. Our hope
is that ten years from now we will be able to look back at a productive decade
of research and claim that we have achieved the overarching Grand Challenge of
Traceability, which seeks for traceability to be always present, built into the
engineering process, and for it to have "effectively disappeared without a
trace". We hope that others will see the potential that traceability has for
empowering software and systems engineers to develop higher-quality products at
increasing levels of complexity and scale, and that they will join the active
community of Software and Systems traceability researchers as we move forward
into the next decade of research
A Framework for Evaluating Traceability Benchmark Metrics
Many software traceability techniques have been developed in the past decade, but suffer from inaccuracy. To address this shortcoming, the software traceability research community seeks to employ benchmarking. Benchmarking will help the community agree on whether improvements to traceability techniques have addressed the challenges faced by the research community. A plethora of evaluation methods have been applied, with no consensus on what should be part of a community benchmark. The goals of this paper are: to identify recurring problems in evaluation of traceability techniques, to identify essential properties that evaluation methods should possess to overcome the identified problems, and to provide guidelines for benchmarking software traceability techniques. We illustrate the properties and guidelines using empirical evaluation of three software traceability techniques on nine data sets. The proposed benchmarking framework can be broadly applied to domains beyond traceability research
The PRO Program: One District’s Experience With Decentralizing Staff Development
Even today after years of restructuring and reform, when staff development is mentioned, many teachers still shudder and imagine a day of lecture that has little if anything to do with providing usable and relevant skills and information
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Voluntary Associations: Membership Attrition and Structural Characteristics
The problem of this research was to investigate David Sills' explanation of membership attrition in voluntary associations. Using the membership population of the Dallas Association for Retarded Citizens from 1969 through 1974, a survey was conducted to determine whether the organizational characteristics of bureaucracy, minority rule, and goal displacement are associated with membership attrition in a selected voluntary association. The findings of this study support Sills' ideas about the association of goal displacement and minority rule with membership attrition in voluntary associations. Bureaucratization, however, was not found to be related to membership attrition
Assessing Traceability of Software Engineering Artifacts
The generation of traceability links or traceability matrices is vital to many software engineering activities. It is also person-power intensive, time-consuming, error-prone, and lacks tool support. The activities that require traceability information include, but are not limited to, risk analysis, impact analysis, criticality assessment, test coverage analysis, and verification and validation of software systems. Information Retrieval (IR) techniques have been shown to assist with the automated generation of traceability links by reducing the time it takes to generate the traceability mapping. Researchers have applied techniques such as Latent Semantic Indexing (LSI), vector space retrieval, and probabilistic IR and have enjoyed some success. This paper concentrates on examining issues not previously widely studied in the context of traceability: the importance of the vocabulary base used for tracing and the evaluation and assessment of traceability mappings and methods using secondary measures. We examine these areas and perform empirical studies to understand the importance of each to the traceability of software engineering artifacts
Toward a Learned Project-Specific Fault Taxonomy: Application of Software Analytics A Position Paper
Abstract-This position paper argues that fault classification provides vital information for software analytics, and that machine learning techniques such as clustering can be applied to learn a project-(or organization-) specific fault taxonomy. Anecdotal evidence of this position is presented as well as possible areas of research for moving toward the posited goal
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