A brief survey of program slicing

By Baowen Xu, Ju Qian, Xiaofang Zhang, Zhongqiang Wu, Lin Chen. SOEN, 2005

378 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey on Software Fault Localization (2016, background): “Hundreds of papers on this topic have been published [52], [344], [394] since Weiser ﬁrst proposed static slicing in 1979 [361].”
An empirical study on TensorFlow program bugs (2018, background): “• Due to the densely inter-dependent of a neural network, traditional debugging techniques such as slicing [41] provide little help, and new research techniques for debugging is needed.”
Metamorphic Testing (2018, background): “Many slice types have been developed, such as static slices, dynamic slices, execution slices, and conditioned slices [94].”
A large-scale benchmark for few-shot program induction and synthesis (2021, background): “We thus clean the unnecessary instructions to avoid making programs un-necessarily long and redundant; a process called slicing (Xu et al., 2005; Tsantalis & Chatzigeorgiou, 2009).”
Evaluating and Improving Fault Localization (2017, background): “According to a recent survey [45], the most studied and evaluated fault localization techniques are spectrum-based [3], [18], [25], [44], slice-based [42], [48], model-based [1], [47], and mutation-based [30], [33].”