Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mining Treatment-Outcome Constructs from Sequential Software Engineering
  Data   Many investigations in empirical software engineering look at sequences of
data resulting from development or management processes. In this paper, we
propose an analytical approach called the Gandhi-Washington Method (GWM) to
investigate the impact of recurring events in software projects. GWM takes an
encoding of events and activities provided by a software analyst as input. It
uses regular expressions to automatically condense and summarize information
and infer treatments. Relating the treatments to the outcome through
statistical tests, treatment-outcome constructs are automatically mined from
the data. The output of GWM is a set of treatment-outcome constructs. Each
treatment in the set of mined constructs is significantly different from the
other treatments considering the impact on the outcome and/or is structurally
different from other treatments considering the sequence of events. We describe
GWM and classes of problems to which GWM can be applied. We demonstrate the
applicability of this method for empirical studies on sequences of file
editing, code ownership, and release cycle time.

15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex