Human-like summaries from heterogeneous and time-windowed software development artefacts

Mahfouth Alghamdi; Christoph Treude; Markus Wagner

doi:10.1007/978-3-030-58115-2_23

Human-like summaries from heterogeneous and time-windowed software development artefacts

Mahfouth Alghamdi
, Christoph Treude
, Markus Wagner

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Automatic text summarisation has drawn considerable interest in the area of software engineering. It is challenging to summarise the activities related to a software project, (1) because of the volume and heterogeneity of involved software artefacts, and (2) because it is unclear what information a developer seeks in such a multi-document summary. We present the first framework for summarising multi-document software artefacts containing heterogeneous data within a given time frame. To produce human-like summaries, we employ a range of iterative heuristics to minimise the cosine-similarity between texts and high-dimensional feature vectors. A first study shows that users find the automatically generated summaries the most useful when they are generated using word similarity and based on the eight most relevant software artefacts.

Original language	English
Title of host publication	Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II
Editors	Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	329-342
Number of pages	14
ISBN (Electronic)	9783030581152
ISBN (Print)	9783030581145
DOIs	https://doi.org/10.1007/978-3-030-58115-2_23
Publication status	Published - 2020
Externally published	Yes
Event	Parallel Problem Solving from Nature 2020 - Leiden, Netherlands Duration: 5 Sept 2020 → 9 Sept 2020 Conference number: 16th https://link.springer.com/book/10.1007/978-3-030-58115-2 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12270
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Parallel Problem Solving from Nature 2020
Abbreviated title	PPSN 2020
Country/Territory	Netherlands
City	Leiden
Period	5/09/20 → 9/09/20
Internet address	https://link.springer.com/book/10.1007/978-3-030-58115-2 (Proceedings)

Keywords

Extractive summarisation
Heuristic optimisation
Software development

Access to Document

10.1007/978-3-030-58115-2_23

Cite this

Alghamdi, M., Treude, C., & Wagner, M. (2020). Human-like summaries from heterogeneous and time-windowed software development artefacts. In T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, & H. Trautmann (Eds.), Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II (pp. 329-342). (Lecture Notes in Computer Science; Vol. 12270). Springer. https://doi.org/10.1007/978-3-030-58115-2_23

Alghamdi, Mahfouth ; Treude, Christoph ; Wagner, Markus. / Human-like summaries from heterogeneous and time-windowed software development artefacts. Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II. editor / Thomas Bäck ; Mike Preuss ; André Deutz ; Hao Wang ; Carola Doerr ; Michael Emmerich ; Heike Trautmann. Cham Switzerland : Springer, 2020. pp. 329-342 (Lecture Notes in Computer Science).

@inproceedings{6a6edeaff9924894839f47288ba7124d,

title = "Human-like summaries from heterogeneous and time-windowed software development artefacts",

abstract = "Automatic text summarisation has drawn considerable interest in the area of software engineering. It is challenging to summarise the activities related to a software project, (1) because of the volume and heterogeneity of involved software artefacts, and (2) because it is unclear what information a developer seeks in such a multi-document summary. We present the first framework for summarising multi-document software artefacts containing heterogeneous data within a given time frame. To produce human-like summaries, we employ a range of iterative heuristics to minimise the cosine-similarity between texts and high-dimensional feature vectors. A first study shows that users find the automatically generated summaries the most useful when they are generated using word similarity and based on the eight most relevant software artefacts.",

keywords = "Extractive summarisation, Heuristic optimisation, Software development",

author = "Mahfouth Alghamdi and Christoph Treude and Markus Wagner",

note = "Funding Information: Administration (IPA), Saudi Arabia. Christoph{\textquoteright}s and Markus{\textquoteright} work has been supported by the Australian Research Council projects DE180100153 and DE160100850, and by the 2019 Google Faculty Research Award “Rewriting software documentation for non-native speakers”. Funding Information: Mahfouth has been sponsored by the Institute of Public Administration (IPA), Saudi Arabia. Christoph?s and Markus? work has been supported by the Australian Research Council projects DE180100153 and DE160100850, and by the 2019 Google Faculty Research Award ?Rewriting software documentation for non-native speakers?. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; Parallel Problem Solving from Nature 2020, PPSN 2020 ; Conference date: 05-09-2020 Through 09-09-2020",

year = "2020",

doi = "10.1007/978-3-030-58115-2\_23",

language = "English",

isbn = "9783030581145",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "329--342",

editor = "Thomas B{\"a}ck and Mike Preuss and Andr{\'e} Deutz and Hao Wang and Carola Doerr and Michael Emmerich and Heike Trautmann",

booktitle = "Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II",

address = "Switzerland",

url = "https://link.springer.com/book/10.1007/978-3-030-58115-2",

}

Alghamdi, M, Treude, C & Wagner, M 2020, Human-like summaries from heterogeneous and time-windowed software development artefacts. in T Bäck, M Preuss, A Deutz, H Wang, C Doerr, M Emmerich & H Trautmann (eds), Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II. Lecture Notes in Computer Science, vol. 12270, Springer, Cham Switzerland, pp. 329-342, Parallel Problem Solving from Nature 2020, Leiden, Netherlands, 5/09/20. https://doi.org/10.1007/978-3-030-58115-2_23

Human-like summaries from heterogeneous and time-windowed software development artefacts. / Alghamdi, Mahfouth; Treude, Christoph; Wagner, Markus.
Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II. ed. / Thomas Bäck; Mike Preuss; André Deutz; Hao Wang; Carola Doerr; Michael Emmerich; Heike Trautmann. Cham Switzerland: Springer, 2020. p. 329-342 (Lecture Notes in Computer Science; Vol. 12270).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Human-like summaries from heterogeneous and time-windowed software development artefacts

AU - Alghamdi, Mahfouth

AU - Treude, Christoph

AU - Wagner, Markus

N1 - Conference code: 16th

PY - 2020

Y1 - 2020

N2 - Automatic text summarisation has drawn considerable interest in the area of software engineering. It is challenging to summarise the activities related to a software project, (1) because of the volume and heterogeneity of involved software artefacts, and (2) because it is unclear what information a developer seeks in such a multi-document summary. We present the first framework for summarising multi-document software artefacts containing heterogeneous data within a given time frame. To produce human-like summaries, we employ a range of iterative heuristics to minimise the cosine-similarity between texts and high-dimensional feature vectors. A first study shows that users find the automatically generated summaries the most useful when they are generated using word similarity and based on the eight most relevant software artefacts.

AB - Automatic text summarisation has drawn considerable interest in the area of software engineering. It is challenging to summarise the activities related to a software project, (1) because of the volume and heterogeneity of involved software artefacts, and (2) because it is unclear what information a developer seeks in such a multi-document summary. We present the first framework for summarising multi-document software artefacts containing heterogeneous data within a given time frame. To produce human-like summaries, we employ a range of iterative heuristics to minimise the cosine-similarity between texts and high-dimensional feature vectors. A first study shows that users find the automatically generated summaries the most useful when they are generated using word similarity and based on the eight most relevant software artefacts.

KW - Extractive summarisation

KW - Heuristic optimisation

KW - Software development

UR - https://www.scopus.com/pages/publications/85091189416

U2 - 10.1007/978-3-030-58115-2_23

DO - 10.1007/978-3-030-58115-2_23

M3 - Conference Paper

AN - SCOPUS:85091189416

SN - 9783030581145

T3 - Lecture Notes in Computer Science

SP - 329

EP - 342

BT - Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II

A2 - Bäck, Thomas

A2 - Preuss, Mike

A2 - Deutz, André

A2 - Wang, Hao

A2 - Doerr, Carola

A2 - Emmerich, Michael

A2 - Trautmann, Heike

PB - Springer

CY - Cham Switzerland

T2 - Parallel Problem Solving from Nature 2020

Y2 - 5 September 2020 through 9 September 2020

ER -

Alghamdi M, Treude C, Wagner M. Human-like summaries from heterogeneous and time-windowed software development artefacts. In Bäck T, Preuss M, Deutz A, Wang H, Doerr C, Emmerich M, Trautmann H, editors, Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020 Leiden, The Netherlands, September 5–9, 2020 Proceedings, Part II. Cham Switzerland: Springer. 2020. p. 329-342. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-58115-2_23

Human-like summaries from heterogeneous and time-windowed software development artefacts

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this