The economic impacts of inadequate infrastructure for software testing

By Gregory Tassey. 2002

1,264 citations recorded by the source corpus.

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Citations in the corpus

Evaluating Large Language Models Trained on Code (2021, neutral): “(Planning, 2002; Jones & Bonsignour, 2011).”
Test input generation with java PathFinder (2004, background): “A recent report by the National Institute of Standards and Technology estimates that software failures currently cost the US economy about $60 billion every year, and that improvements in software testing infrastructure might save one-third of this cost [1].”
Predicting defects using network analysis on dependency graphs (2008, unknown): “D.2.9 [Software Engineering]:”
SVF: interprocedural static value-flow analysis in LLVM (2016, background): “, during the testing stage), resulting in higher quality software [9, 39].”
Designing the whyline: a debugging interface for asking questions about program behavior (2004, background): “Software engineers blamed inadequate testing and debugging tools [19].”
DART: directed automated random testing (2005, background): “It was recently estimated that software failures currently cost the US economy alone about $60 billion every year, and that improvements in software testing infrastructure might save one-third of this cost [31].”
Is the cure worse than the disease? overfitting in automated program repair (2015, background): “However, in practice, test suites are rarely exhaustive [51], and repair techniques must avoid breaking undertested functionality.”
History Driven Program Repair (2016, background): “Many defects, including security-critical defects, remain unaddressed for extensive periods [19], and the resulting impact on the global economy is measured in the billions of dollars annually [48], [10].”
Information needs for software development analytics (2012, background): “Moreover, software defects cost the US economy many billions of dollars each year [4].”
A Factor Graph Model for Software Bug Finding (2007, background): “Software bugs are as pervasive as software itself, with the rising cost of software errors recently estimated to cost the United States economy $59.5 billion/year [RTI, 2002].”
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization (2019, background): “It has been reported that debugging software faults can take up to 80% of the total software cost for some projects [1].”
A discriminative model approach for accurate duplicate bug report retrieval (2010, methodology): “In order to computerize retrieval task, a sequence of actions should be taken ﬁrst to preprocess documents using natural language processing techniques.”
Practitioners' expectations on automated fault localization (2016, background): “dollars are lost due to software bugs annually [46].”
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search (2010, background): “However, despite the large number of recent studies on the applicability of different search based optimization approaches, there has been very little theoretical analysis of the types of testing problem for which these techniques are well-suited.”