IEICE TRANSACTIONS on Information
Software Profit Model under Imperfect Debugging and Optimal Software Release Policy
Summary :
This paper considers a software reliability model which allows for two types of imperfect debuggings at each failure of the software system. For one type of imperfect debugging, a fault that causes the failure is imperfectly debugged without altering the fault contents of the software system. For the other type of imperfect debugging, the fault is not only imperfectly debugged, but also a new fault is generated and introduced into the system. The probability of perfect debugging is assumed to be an increasing function of the number of debuggings performed prior to the current failure of the system. Based on the software reliability model presented, we consider three profit models to determine the optimal software release times which maximize the expected software profit. These models consider: (1) constant life cycle, (2) random life cycle, (3) random life cycle and penalty cost which is imposed when the software is delivered late. The optimal release times are shown to be finite and unique. Numerical examples are provided for illustrative purposes.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.5 pp.833-838
- Publication Date
- 2002/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Software Engineering
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Chong-Hyung LEE, Kyung-Hyun NAM, Dong-Ho PARK, "Software Profit Model under Imperfect Debugging and Optimal Software Release Policy" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 5, pp. 833-838, May 2002, doi: .
Abstract: This paper considers a software reliability model which allows for two types of imperfect debuggings at each failure of the software system. For one type of imperfect debugging, a fault that causes the failure is imperfectly debugged without altering the fault contents of the software system. For the other type of imperfect debugging, the fault is not only imperfectly debugged, but also a new fault is generated and introduced into the system. The probability of perfect debugging is assumed to be an increasing function of the number of debuggings performed prior to the current failure of the system. Based on the software reliability model presented, we consider three profit models to determine the optimal software release times which maximize the expected software profit. These models consider: (1) constant life cycle, (2) random life cycle, (3) random life cycle and penalty cost which is imposed when the software is delivered late. The optimal release times are shown to be finite and unique. Numerical examples are provided for illustrative purposes.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_5_833/_p
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@ARTICLE{e85-d_5_833,
author={Chong-Hyung LEE, Kyung-Hyun NAM, Dong-Ho PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Software Profit Model under Imperfect Debugging and Optimal Software Release Policy},
year={2002},
volume={E85-D},
number={5},
pages={833-838},
abstract={This paper considers a software reliability model which allows for two types of imperfect debuggings at each failure of the software system. For one type of imperfect debugging, a fault that causes the failure is imperfectly debugged without altering the fault contents of the software system. For the other type of imperfect debugging, the fault is not only imperfectly debugged, but also a new fault is generated and introduced into the system. The probability of perfect debugging is assumed to be an increasing function of the number of debuggings performed prior to the current failure of the system. Based on the software reliability model presented, we consider three profit models to determine the optimal software release times which maximize the expected software profit. These models consider: (1) constant life cycle, (2) random life cycle, (3) random life cycle and penalty cost which is imposed when the software is delivered late. The optimal release times are shown to be finite and unique. Numerical examples are provided for illustrative purposes.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Software Profit Model under Imperfect Debugging and Optimal Software Release Policy
T2 - IEICE TRANSACTIONS on Information
SP - 833
EP - 838
AU - Chong-Hyung LEE
AU - Kyung-Hyun NAM
AU - Dong-Ho PARK
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2002
AB - This paper considers a software reliability model which allows for two types of imperfect debuggings at each failure of the software system. For one type of imperfect debugging, a fault that causes the failure is imperfectly debugged without altering the fault contents of the software system. For the other type of imperfect debugging, the fault is not only imperfectly debugged, but also a new fault is generated and introduced into the system. The probability of perfect debugging is assumed to be an increasing function of the number of debuggings performed prior to the current failure of the system. Based on the software reliability model presented, we consider three profit models to determine the optimal software release times which maximize the expected software profit. These models consider: (1) constant life cycle, (2) random life cycle, (3) random life cycle and penalty cost which is imposed when the software is delivered late. The optimal release times are shown to be finite and unique. Numerical examples are provided for illustrative purposes.
ER -
English
