Pith. Sign in

RECORD

Visualizing the Process of Process Modeling with PPMCharts

PaperPDF from arXiv

data files

Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
X Bluesky LinkedIn Reddit Hacker News
Jan Claes, Irene Vanderfeesten, Jakob Pinggera, Hajo A. Reijers, Barbara Weber, Geert Poels

Software Engineering · Submitted 11 Nov 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The graphical representation this plug-in generates allows for the discovery of different patterns of the process of process modeling.

how it is stated · asserted 0.90 read the record →

Comment (0) Read on arXiv ↗
Cite ▾
arXiv ID1511.04053 (version 1)
Pith IDM2DRTL7D, Pith's permanent record of this paper and its review
CitationBarbara Weber, Geert Poels, Hajo A. Reijers, Irene Vanderfeesten, Jakob Pinggera, Jan Claes. "Visualizing the Process of Process Modeling with PPMCharts." arXiv:1511.04053 (2015). https://pith.science/paper/M2DRTL7D
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,239 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.06 · human participants 0.25 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.06 · mentions code or data availability 0.48.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In the quest for knowledge about how to make good process models, recent research focus is shifting from studying the quality of process models to studying the process of process modeling (often abbreviated as PPM) itself. This paper reports on our efforts to visualize this specific process in such a way that relevant characteristics of the modeling process can be observed graphically. By recording each modeling operation in a modeling process, one can build an event log that can be used as input for the PPMChart Analysis plug-in we implemented in ProM. The graphical representation this plug-in generates allows for the discovery of different patterns of the process of process modeling. It also provides different views on the process of process modeling (by configuring and filtering the charts).

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In the quest for knowledge about how to make good process models, recent research focus is shifting from studying the quality of process models to studying the process of process modeling (often abbreviated as PPM) itself. background 1.00 0.06 0.04 asserted 0.99
s1 This paper reports on our efforts to visualize this specific process in such a way that relevant characteristics of the modeling process can be observed graphically. contribution 1.00 0.92 0.12 asserted 0.97
s2 By recording each modeling operation in a modeling process, one can build an event log that can be used as input for the PPMChart Analysis plug-in we implemented in ProM. method 0.99 0.78 0.06 asserted 0.82
s3 The graphical representation this plug-in generates allows for the discovery of different patterns of the process of process modeling. result 0.56 0.80 0.21 asserted 0.90
s4 It also provides different views on the process of process modeling (by configuring and filtering the charts). contribution 0.64 0.79 0.09 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 0.65.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In the quest for knowledge about how to make good process models, recent research focus is shifting from studying the quality of process models to studying the process of process modeling (often abbreviated as PPM) itself. This paper reports on our efforts to visualize this specific process in such a way that relevant characteristics of the modeling process can be observed graphically. By recording each modeling operation in a modeling process, one can build an event log that can be used as input for the PPMChart Analysis plug-in we implemented in ProM. The graphical representation this plug-in generates allows for the discovery of different patterns of the process of process modeling. It also provides different views on the process of process modeling (by configuring and filtering the charts).

Human review

How Pith checks papers → · Full audit of this paper →

Discussion

Know something about this paper? Leave a comment, or highlight any passage above to comment on it.