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Proceedings ArticleDOI

Data collection in a process-sensitive software engineering environment

TLDR
The paper discusses the ideas about practical support for collecting empirical data using a process-sensitive software engineering environment and the value of new technologies.
Abstract
All software projects are experiments in the sense of the scientific method because the outcomes are not known in advance, theories and hypotheses may be tested in the project empirically, and data must be collected and analyzed. Empirical data allows us to characterize projects, gauge improvements in an environment, and reason about the value of new technologies. The paper discusses our ideas about practical support for collecting empirical data using a process-sensitive software engineering environment.

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Citations
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Book ChapterDOI

Directions in Software Process Research

TL;DR: This paper motivates the need for explicit process models, surveys existing languages to model processes, discusses tools to support model usage, and proposes a research agenda for future software process research.
Journal ArticleDOI

Software project control centers: concepts and approaches

TL;DR: This article presents a reference model for concepts and definitions around SPCCs, a characterization and classification of essential approaches contributing to this field, and an outline for future research is derived from identified deficiencies of existing approaches.
Proceedings ArticleDOI

Capturing implicit software engineering knowledge

TL;DR: This paper formulate a conceptual framework that captures the implicit knowledge, and then organize the knowledge in a useful form for the software experience factory and suggests a combination of knowledge capture techniques to achieve this end.
Journal ArticleDOI

Improved software quality through improved development process descriptions

TL;DR: The problem addressed in this paper is the choice of a modeling procedure when formalizing existing, informal process descriptions, in which an informal description of an IBM Cleanroom process was transformed into a formal Multi-View Process Modeling Language (MVP-L) model.
Proceedings ArticleDOI

Reverse engineering the process of small novice software teams

TL;DR: This paper describes the work on analyzing the CVS history of a team project repository to extract information about the nature of the collaboration between the members of aTeam, and how this analysis can support the instructor in noticing evidence of potential problems who can then use this information to alert the team.
References
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Proceedings ArticleDOI

Process Weaver: adding process support to UNIX

TL;DR: A description is given of Process Weaver, a set of tools that adds process support capability to UNIX-based environments, including heterogeneous environments with UNIX servers and PC workstations, which can support process evolution in a controlled manner.
Proceedings ArticleDOI

Software development: a paradigm for the future

TL;DR: A new paradigm for software development that treats software development as an experimental activity is presented and an organization scheme is proposed for separating the project-specific focus from the organization's learning and reuse focuses of software development.
Book ChapterDOI

Provence: A Process Visualisation and Enactment Environment

TL;DR: Provence is presented, an architecture that inculcates criteria and realizes them by integrating existing software components and provides a dynamic visual representation of changes to process and data throughout the lifetime of a project.
Journal ArticleDOI

Measurement-based guidance of software projects using explicit project plans

TL;DR: Following a summary of technologies developed by the process modelling and measurement subcommunities of software engineering, a method for integrating these technologies is suggested, and the potential benefits for project guidance are discussed.
Proceedings ArticleDOI

A case study in process representation using MVP-L

TL;DR: The authors conducted a case study within TRW which involved the creation of formal process specifications and designs using MVP-L, an existing process notation, to understand the various steps in representing processes and evaluating notations for each process-representation step.
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