references.bib

@article{weiser_program_1984,
  title = {Program {{Slicing}}},
  author = {Weiser, Mark},
  date = {1984-07},
  journaltitle = {IEEE Transactions on Software Engineering},
  volume = {SE-10},
  number = {4},
  pages = {352--357},
  issn = {1939-3520},
  doi = {10.1109/TSE.1984.5010248},
  abstract = {Program slicing is a method for automatically decomposing programs by analyzing their data flow and control flow. Starting from a subset of a program's behavior, slicing reduces that program to a minimal form which still produces that behavior. The reduced program, called a “slice,” is an independent program guaranteed to represent faithfully the original program within the domain of the specified subset of behavior. Some properties of slices are presented. In particular, finding statement-minimal slices is in general unsolvable, but using data flow analysis is sufficient to find approximate slices. Potential applications include automatic slicing tools for debuggng and parallel processing of slices.},
  eventtitle = {{{IEEE Transactions}} on {{Software Engineering}}},
  keywords = {Algorithms,Data flow analysis,Data mining,debugging,Debugging,human factors,Merging,parallel processing,Probability density function,program maintenance,program metrics,Program processors,slicing,software tools,Trajectory},
}

@Manual{RStudio,
  title = {RStudio: Integrated Development Environment for R},
  author = {{RStudio Team}},
  organization = {RStudio, PBC},
  address = {Boston, MA},
  year = {2022},
  url = {http://www.rstudio.com/},
}

@misc{RLang,
  title = {{R Language Definition}},
  author = {{R Core Team}},
  year = 2023,
  url = {https://cran.r-project.org/doc/manuals/r-release/R-lang.pdf},
  note = {Accessed: 2023-05-04}
}