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  1. Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering (ESEC/FSE-13)
  2. Facilitating software evolution research with kenyon
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Automatic generation of suggestions for program investigation
Reasoning about confidentiality at requirements engineering time
Fluent temporal logic for discrete-time event-based models
Moose: an agile reengineering environment
Context- and path-sensitive memory leak detection
Applying classification techniques to remotely-collected program execution data
Facilitating software evolution research with kenyon
Relational analysis of algebraic datatypes
Strathcona example recommendation tool
Parameterized unit tests
SOBER: statistical model-based bug localization
Reuse and variability in large software applications
Anchoring and adjustment in software estimation
Quantitative assessment of UML dynamic models
The story of moose: an agile reengineering environment
ASTEC: a new approach to refactoring C
Detecting and resolving semantic pathologies in UML sequence diagrams
Towards a unified formal model for supporting mechanisms of dynamic component update
Dynamically discovering architectures with DiscoTect
Performance data collection using a hybrid approach
Detecting higher-level similarity patterns in programs
An empirical study of code clone genealogies
Lightweight object specification with typestates
Parameterized unit tests with unit meister
CUTE: a concolic unit testing engine for C
DynaMine: finding common error patterns by mining software revision histories
Industrial experience with building a web portal product line using a lightweight, reactive approach
Combining self-reported and automatic data to improve programming effort measurement
Reengineering towards components using "Reconn-exion"
Innovations in pervasive computing
Permissive interfaces
A case study on value-based requirements tracing
Arithmetic program paths
HATARI: raising risk awareness
Summarizing application performance from a components perspective
Information hiding interfaces for aspect-oriented design
Matching execution histories of program versions
Joining dataflow with predicates
KenyaEclipse: learning to program in eclipse
Online testing with model programs
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code
Inconsistency detection and resolution for context-aware middleware support
UPEX: user participation by example
Engineering distributed software: a structural discipline
CHARMY: an extensible tool for architectural analysis
Visual tool for generative programming
A refinement calculus for software components and architectures
Utilizing verification and validation certificates to estimate software defect density
Surveying the factors that influence maintainability: research design

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Facilitating software evolution research with kenyon

Content Provider ACM Digital Library
Author Godfrey, Michael Bevan, Jennifer Whitehead, E. James Kim, Sunghun
Abstract Software evolution research inherently has several resource-intensive logistical constraints. Archived project artifacts, such as those found in source code repositories and bug tracking systems, are the principal source of input data. Analysis-specific facts, such as commit metadata or the location of design patterns within the code, must be extracted for each change or configuration of interest. The results of this resource-intensive "fact extraction" phase must be stored efficiently, for later use by more experimental types of research tasks, such as algorithm or model refinement. In order to perform any type of software evolution research, each of these logistical issues must be addressed and an implementation to manage it created. In this paper, we introduce Kenyon, a system designed to facilitate software evolution research by providing a common set of solutions to these common logistical problems. We have used Kenyon for processing source code data from 12 systems of varying sizes and domains, archived in 3 different types of software configuration management systems. We present our experiences using Kenyon with these systems, and also describe Kenyon's usage by students in a graduate seminar class.
Starting Page 177
Ending Page 186
Page Count 10
File Format PDF
ISBN 1595930140
DOI 10.1145/1081706.1081736
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-09-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Software evolution Software configuration management Software stratigraphy
Content Type Text
Resource Type Article
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