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  1. Proceedings of the 1st ACM international workshop on Empirical assessment of software engineering languages and technologies (WEASELTech '07)
  2. Efficient time-aware prioritization with knapsack solvers
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Generating Java unit tests with AI planning
Assessing work for static software bug detection
Efficient time-aware prioritization with knapsack solvers
Using coverage effectiveness to evaluate test suite prioritizations
On using eye tracking in empirical assessment of software visualizations
Toward a task model of concurrent software maintenance
Comprehensibility of UML-based formal model: a series of controlled experiments
A survey on model-based testing approaches: a systematic review
Practical experiments are informative, but never perfect
Case study, interrupted: the paucity of subject systems that span the requirements-architecture gap
Experimental evaluation of a lightweight method for augmenting requirements analysis

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Efficient time-aware prioritization with knapsack solvers

Content Provider ACM Digital Library
Author Alspaugh, Sara Belanich, Michael Walcott, Kristen R. Kapfhammer, Gregory M. Soffa, Mary Lou
Abstract Regression testing is frequently performed in a time constrained environment. This paper explains how 0/1 knapsack solvers (e.g., greedy, dynamic programming, and the core algorithm) can identify a test suite reordering that rapidly covers the test requirements and always terminates within a specified testing time limit. We conducted experiments that reveal fundamental trade-offs in the (i) time and space costs that are associated with creating a reordered test suite and (ii) quality of the resulting prioritization. We find knapsack-based prioritizers that ignore the overlap in test case coverage incur a low time overhead and a moderate to high space overhead while creating prioritizations exhibiting a minor to modest decrease in effectiveness. We also find that the most sophisticated 0/1 knapsack solvers do not always identify the most effective prioritization, suggesting that overlap-aware prioritizers with a higher time overhead are useful in certain testing contexts.
Starting Page 13
Ending Page 18
Page Count 6
File Format PDF
ISBN 9781595938800
DOI 10.1145/1353673.1353676
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-11-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Coverage testing Test prioritization Knapsack problem
Content Type Text
Resource Type Article
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