Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools

Ryo Hirano, Yohei Nakamura, Miwa Nakanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we construct a method for evaluating thinking and judgment as intellectual productivity of system engineers, with a particular focus on a supporting system that the engineers engaged in software development. This method can be applied in two ways. The first application is an approach to evaluate the skill of system engineers. This method can not only evaluate the engineer's aptitude by scoring intellectual productivities but can also analyse tendencies related to the skill of system engineers by using proportions of each control processes and time-series graphs. The second application is an approach to improve the tools and manuals of the development environment. By comparing time-series graphs of the thinking process with operating logs, we can identify the specific point where system engineers have fallen into scrambled control processes so that we can specifically identify the problem in the corresponding instructions and manuals, which should result in improvements in development environment tools.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages305-315
Number of pages11
Volume8016 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2013
Event15th International Conference on Human Interface and the Management of Information: Information and Interaction Design, HCI 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 212013 Jul 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8016 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Human Interface and the Management of Information: Information and Interaction Design, HCI 2013
CountryUnited States
CityLas Vegas, NV
Period13/7/2113/7/26

Fingerprint

Productivity
Coding
Engineers
Evaluation
Process Control
Time series
Evaluate
Graph in graph theory
Scoring
Software Development
Proportion
Software engineering
Skills

Keywords

  • application development tools
  • Intellectual productivity
  • system engineers

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hirano, R., Nakamura, Y., & Nakanishi, M. (2013). Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 8016 LNCS, pp. 305-315). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8016 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-39209-2-35

Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools. / Hirano, Ryo; Nakamura, Yohei; Nakanishi, Miwa.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8016 LNCS PART 1. ed. 2013. p. 305-315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8016 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hirano, R, Nakamura, Y & Nakanishi, M 2013, Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 8016 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8016 LNCS, pp. 305-315, 15th International Conference on Human Interface and the Management of Information: Information and Interaction Design, HCI 2013, Las Vegas, NV, United States, 13/7/21. https://doi.org/10.1007/978-3-642-39209-2-35
Hirano R, Nakamura Y, Nakanishi M. Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 8016 LNCS. 2013. p. 305-315. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-39209-2-35
Hirano, Ryo ; Nakamura, Yohei ; Nakanishi, Miwa. / Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8016 LNCS PART 1. ed. 2013. pp. 305-315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
@inproceedings{10d5699e657a4456b36c97e82f65c0e7,
title = "Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools",
abstract = "In this study, we construct a method for evaluating thinking and judgment as intellectual productivity of system engineers, with a particular focus on a supporting system that the engineers engaged in software development. This method can be applied in two ways. The first application is an approach to evaluate the skill of system engineers. This method can not only evaluate the engineer's aptitude by scoring intellectual productivities but can also analyse tendencies related to the skill of system engineers by using proportions of each control processes and time-series graphs. The second application is an approach to improve the tools and manuals of the development environment. By comparing time-series graphs of the thinking process with operating logs, we can identify the specific point where system engineers have fallen into scrambled control processes so that we can specifically identify the problem in the corresponding instructions and manuals, which should result in improvements in development environment tools.",
keywords = "application development tools, Intellectual productivity, system engineers",
author = "Ryo Hirano and Yohei Nakamura and Miwa Nakanishi",
year = "2013",
doi = "10.1007/978-3-642-39209-2-35",
language = "English",
isbn = "9783642392085",
volume = "8016 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "305--315",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 1",

}

TY - GEN

T1 - Evaluation of system engineers' intellectual productivity focusing on coding procedures in application development tools

AU - Hirano, Ryo

AU - Nakamura, Yohei

AU - Nakanishi, Miwa

PY - 2013

Y1 - 2013

N2 - In this study, we construct a method for evaluating thinking and judgment as intellectual productivity of system engineers, with a particular focus on a supporting system that the engineers engaged in software development. This method can be applied in two ways. The first application is an approach to evaluate the skill of system engineers. This method can not only evaluate the engineer's aptitude by scoring intellectual productivities but can also analyse tendencies related to the skill of system engineers by using proportions of each control processes and time-series graphs. The second application is an approach to improve the tools and manuals of the development environment. By comparing time-series graphs of the thinking process with operating logs, we can identify the specific point where system engineers have fallen into scrambled control processes so that we can specifically identify the problem in the corresponding instructions and manuals, which should result in improvements in development environment tools.

AB - In this study, we construct a method for evaluating thinking and judgment as intellectual productivity of system engineers, with a particular focus on a supporting system that the engineers engaged in software development. This method can be applied in two ways. The first application is an approach to evaluate the skill of system engineers. This method can not only evaluate the engineer's aptitude by scoring intellectual productivities but can also analyse tendencies related to the skill of system engineers by using proportions of each control processes and time-series graphs. The second application is an approach to improve the tools and manuals of the development environment. By comparing time-series graphs of the thinking process with operating logs, we can identify the specific point where system engineers have fallen into scrambled control processes so that we can specifically identify the problem in the corresponding instructions and manuals, which should result in improvements in development environment tools.

KW - application development tools

KW - Intellectual productivity

KW - system engineers

UR - http://www.scopus.com/inward/record.url?scp=84880858193&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880858193&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39209-2-35

DO - 10.1007/978-3-642-39209-2-35

M3 - Conference contribution

AN - SCOPUS:84880858193

SN - 9783642392085

VL - 8016 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 305

EP - 315

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -