IEICE TRANSACTIONS on Information
Towards Logging Optimization for Dynamic Object Process Graph Construction
Summary :
Logging the execution process of a program is a popular activity for practical program understanding. However, understanding the behavior of a program from a complete execution trace is difficult because a system may generate a substantial number of runtime events. To focus on a small subset of runtime events, a dynamic object process graph (DOPG) has been proposed. Although a DOPG can potentially facilitate program understanding, the logging process has not been adapted for DOPGs. If a developer is interested in the behavior of a particular object, only the runtime events related to the object are necessary to construct a DOPG. The vast majority of runtime events in a complete execution trace are irrelevant to the interesting object. This paper analyzes actual DOPGs and reports that a logging tool can be optimized to record only the runtime events related to a particular object specified by a developer.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.11 pp.2470-2472
- Publication Date
- 2013/11/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.2470
- Type of Manuscript
- LETTER
- Category
- Software System
Authors
Takashi ISHIO
Osaka University
Hiroki WAKISAKA
Osaka University
Yuki MANABE
Kumamoto University
Katsuro INOUE
Osaka University
Keyword
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Takashi ISHIO, Hiroki WAKISAKA, Yuki MANABE, Katsuro INOUE, "Towards Logging Optimization for Dynamic Object Process Graph Construction" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 11, pp. 2470-2472, November 2013, doi: 10.1587/transinf.E96.D.2470.
Abstract: Logging the execution process of a program is a popular activity for practical program understanding. However, understanding the behavior of a program from a complete execution trace is difficult because a system may generate a substantial number of runtime events. To focus on a small subset of runtime events, a dynamic object process graph (DOPG) has been proposed. Although a DOPG can potentially facilitate program understanding, the logging process has not been adapted for DOPGs. If a developer is interested in the behavior of a particular object, only the runtime events related to the object are necessary to construct a DOPG. The vast majority of runtime events in a complete execution trace are irrelevant to the interesting object. This paper analyzes actual DOPGs and reports that a logging tool can be optimized to record only the runtime events related to a particular object specified by a developer.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.2470/_p
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@ARTICLE{e96-d_11_2470,
author={Takashi ISHIO, Hiroki WAKISAKA, Yuki MANABE, Katsuro INOUE, },
journal={IEICE TRANSACTIONS on Information},
title={Towards Logging Optimization for Dynamic Object Process Graph Construction},
year={2013},
volume={E96-D},
number={11},
pages={2470-2472},
abstract={Logging the execution process of a program is a popular activity for practical program understanding. However, understanding the behavior of a program from a complete execution trace is difficult because a system may generate a substantial number of runtime events. To focus on a small subset of runtime events, a dynamic object process graph (DOPG) has been proposed. Although a DOPG can potentially facilitate program understanding, the logging process has not been adapted for DOPGs. If a developer is interested in the behavior of a particular object, only the runtime events related to the object are necessary to construct a DOPG. The vast majority of runtime events in a complete execution trace are irrelevant to the interesting object. This paper analyzes actual DOPGs and reports that a logging tool can be optimized to record only the runtime events related to a particular object specified by a developer.},
keywords={},
doi={10.1587/transinf.E96.D.2470},
ISSN={1745-1361},
month={November},}
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TY - JOUR
TI - Towards Logging Optimization for Dynamic Object Process Graph Construction
T2 - IEICE TRANSACTIONS on Information
SP - 2470
EP - 2472
AU - Takashi ISHIO
AU - Hiroki WAKISAKA
AU - Yuki MANABE
AU - Katsuro INOUE
PY - 2013
DO - 10.1587/transinf.E96.D.2470
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2013
AB - Logging the execution process of a program is a popular activity for practical program understanding. However, understanding the behavior of a program from a complete execution trace is difficult because a system may generate a substantial number of runtime events. To focus on a small subset of runtime events, a dynamic object process graph (DOPG) has been proposed. Although a DOPG can potentially facilitate program understanding, the logging process has not been adapted for DOPGs. If a developer is interested in the behavior of a particular object, only the runtime events related to the object are necessary to construct a DOPG. The vast majority of runtime events in a complete execution trace are irrelevant to the interesting object. This paper analyzes actual DOPGs and reports that a logging tool can be optimized to record only the runtime events related to a particular object specified by a developer.
ER -
English
