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Journal articles on the topic 'Exception Handling'

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Published: 4 June 2021

Last updated: 9 June 2025

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1

K, Kwon. "Exception Handling in Logic Programming." Advances in Robotic Technology 1, no. 1 (October 2, 2023): 1–3. http://dx.doi.org/10.23880/art-16000104.

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One problem on logic programming is to express exception handling. We argue that this problem can be solved by adopting linear logic and prioritized-choice disjunctive goal formulas (PCD) of the form G G 0 *1 ⊕ where G0, G1 are goals. These goals have the following intended semantics: sequentially choose the first true goal GI and execute GI where i (= 0 or 1), discarding the rest if any.

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2

Liu, Chuan Chang. "A Framework for Handling with Web Services Exception." Advanced Materials Research 121-122 (June 2010): 287–93. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.287.

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Service oriented architecture presents us with a standards-based architecture for developing modular business applications and a lightweight framework for the business integration across heterogeneous platforms. However, due to the traits such as loose coupling, autonomy and distribution of web services, service oriented architecture is inherently vulnerable to exceptions. Moreover, the traditional exception handling strategies can hardly handle with the exceptions occurred in service oriented architecture. Based on the idea that exception management should be implemented in the system infrastructure, the paper presents a novel web services working framework with exception handling capability, including exception definition, exception handling policies, exception monitoring mechanism and handling process. The framework can dynamically monitor and handle with the exceptions that occur during the execution of web services.

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Abrantes, Joilson, Roberta Coelho, and Rodrigo Bonifácio. "DAEH: A Tool for Specifying and Monitoring the Exception Handling Policy." International Journal of Software Engineering and Knowledge Engineering 25, no. 09n10 (November 2015): 1515–30. http://dx.doi.org/10.1142/s0218194015400306.

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The exception handling policy of a system comprises the set of design rules that specify its exception handling behavior (how exceptions should be handled and thrown). Such policy is usually undocumented and implicitly defined by the system architect. For this reason, developers often consider that by just including catch-blocks in the code they are dealing with exceptional conditions. This lack of information may turn the exception handling into a generalized “goto” mechanism making the program more complex and less reliable. This work presents a domain-specific language called ECL (Exception Contract Language) to specify the exception handling policy and a runtime monitoring tool which dynamically checks this policy. The monitoring tool is implemented in the form of an aspect library, which can be added to any Java system without the need to change the application source code. We applied this approach to two large-scale web-based systems and to a set of versions of the well-known JUnit framework. The results indicate that this approach can be used to express and to automatically check the exception handling policy of a system, and consequently support the development of more robust Java systems.

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4

Zhang, Chongyu, Qiping Tao, Liangyu Chen, and Min Zhang. "BERT-Based Code Learning for Exception Localization and Type Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 1 (April 11, 2025): 1040–47. https://doi.org/10.1609/aaai.v39i1.32090.

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Exception handling is crucial but challenging in program development. It needs to identify and handle all potential exceptions within programs to ensure system security and stabilization. Traditional exception handling relies on the expertise and experience of programmers, which often leads to oversights. Therefore, identifying exceptional code and recommending handling solutions are hot research topics with significant practical value. This paper presents a model called CodeHunter for exception localization and type prediction. The model first utilizes BERT-based model to represent code features and then uses Bi-LSTM for sequence labeling to pinpoint exceptional code. Additionally, this model also considers contextual features of the exception code and learns weights for the code within the try block and its context through the self-attention mechanism. Subsequently, it performs exception localization and predicts exception types. We conduct experiments on three different datasets. The results demonstrate that in the task of exception localization, our model can achieve a maximum accuracy of 98.6%, exceeding SOTA baselines by 11.2%. In the task of exception type prediction, our model can surpass the accuracy of SOTA baselines by a maximum of 18.7%, achieving 92.0% Top-1 accuracy. The rationality of techniques used in our model is also proved by the ablation testing. The model is implemented as an IDE plugin for programming convenience.

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5

Strong, Diane M., and Steven M. Miller. "Exceptions and exception handling in computerized information processes." ACM Transactions on Information Systems 13, no. 2 (April 1995): 206–33. http://dx.doi.org/10.1145/201040.201049.

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6

Hwang, San-Yih, and Jian Tang. "Consulting past exceptions to facilitate workflow exception handling." Decision Support Systems 37, no. 1 (April 2004): 49–69. http://dx.doi.org/10.1016/s0167-9236(02)00194-x.

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7

de Dinechin, C. "C++ exception handling." IEEE Concurrency 8, no. 4 (October 2000): 72–79. http://dx.doi.org/10.1109/4434.895109.

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8

Neville-Neil, George. "Forced Exception-Handling." Queue 15, no. 1 (February 2017): 11–15. http://dx.doi.org/10.1145/3055301.3064643.

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9

Neville-Neil, George V. "Forced exception handling." Communications of the ACM 60, no. 6 (May 24, 2017): 31–32. http://dx.doi.org/10.1145/3084356.

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10

Fetzer, Christof, and Pascal Felber. "Improving Program Correctness with Atomic Exception Handling." JUCS - Journal of Universal Computer Science 13, no. (8) (August 28, 2007): 1047–72. https://doi.org/10.3217/jucs-013-08-1047.

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Exception handling is a powerful mechanisms for dealing with failures at runtime. It simplifies the development of robust programs by allowing the programmer to implement recovery actions and tolerate non-fatal errors. Yet, exception handling is difficult to get right! The complexity of correct exception handling is a major cause for incorrect exception handling. It is therefore important to reduce the complexity of writing exception handling code while, at the same time, making sure it is correct. Our approach is to use atomic blocks for exception handling combined with optional compensation actions.

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11

Wu, Qing. "Formalization and Verification of Exception Handling Logic in Service-Oriented Software." Advanced Materials Research 479-481 (February 2012): 1151–54. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1151.

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The dynamic and uncertainty in service-oriented software(SOS) running environment , together with the autonomy and loose coupling of service resources，lead to higher workload and more complexity of exception handling. Aiming to guarantee the completeness of design for exception handling logic in service- oriented software, this paper proposed a formal description method which and the corresponding integrated verification method for exception handling logic. This method can guide the design quickly and efficiently construct exception handling logic model in service-oriented software, and validate whether all exceptions which explicitly declare in service-oriented software are processed

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12

Ritter, Daniel, and Jan Sosulski. "Exception Handling in Message-Based Integration Systems and Modeling Using BPMN." International Journal of Cooperative Information Systems 25, no. 02 (June 2016): 1650004. http://dx.doi.org/10.1142/s0218843016500040.

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Enterprise Integration Patterns (EIP) are a collection of widely used patterns for integrating enterprise applications and business processes. These patterns represent a “de-facto” standard for design decisions when integrating enterprise applications. For the specification of integration scenarios, the patterns’ control and data flow syntax and semantics have been expressed in the Business Process Model and Notation (BPMN). However, exceptions during message processing are left for further studies. In previous work, we specified common technical, exceptional situations in integration systems and derive exception types, for which we define a compliant representation in BPMN, resulting in general patterns for exception handling and compensation. In addition to the patterns, the Exception Flow was introduced, evaluated syntactically and semantically for representative integration scenarios. In this work, we complement these contributions by extending the exception strategies and patterns, and by adding an evaluation of pattern-based compilation from BPMN-based integration descriptions to an open source integration runtime system.

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13

Sarma, Monalisa. "Mutation Analysis Approach to Develop Reliable Object-Oriented Software." Advances in Software Engineering 2014 (December 25, 2014): 1–16. http://dx.doi.org/10.1155/2014/197983.

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In general, modern programs are large and complex and it is essential that they should be highly reliable in applications. In order to develop highly reliable software, Java programming language developer provides a rich set of exceptions and exception handling mechanisms. Exception handling mechanisms are intended to help developers build robust programs. Given a program with exception handling constructs, for an effective testing, we are to detect whether all possible exceptions are raised and caught or not. However, complex exception handling constructs make it tedious to trace which exceptions are handled and where and which exceptions are passed on. In this paper, we address this problem and propose a mutation analysis approach to develop reliable object-oriented programs. We have applied a number of mutation operators to create a large set of mutant programs with different type of faults. We then generate test cases and test data to uncover exception related faults. The test suite so obtained is applied to the mutant programs measuring the mutation score and hence verifying whether mutant programs are effective or not. We have tested our approach with a number of case studies to substantiate the efficacy of the proposed mutation analysis technique.

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14

Liu, Kaiping, Hee Beng Kuan Tan, and Xu Chen. "Automated Insertion of Exception Handling for Key and Referential Constraints." Journal of Database Management 24, no. 1 (January 2013): 1–19. http://dx.doi.org/10.4018/jdm.2013010101.

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Key and referential constraints are two main integrity constraints in database applications. These constraints can be automatically enforced by the Database Management System with their exception—violation from these constraints—handled by programmers. This paper proposes an approach to relieve the burden of programmers from mechanical coding for handling exceptions of these constraints violation by using program transformation. We first propose an extended abstract syntax tree to include SQL query semantics. Based on it, each code pattern that requires exception handling together with the exception handling code to be inserted is represented as a transformation rule. We provide two alternatives to handle the exceptions: one is to handle the exceptions in conjunction with the built-in enforcement feature in Database Management System; the other is handling them without using the feature provided in Database Management System. Hence, two types of transformation rules are provided accordingly. A tool GEHPHP (Generation of Exception Handling for PHP Systems) has been developed to implement the proposed approach. Experiments have also been conducted to evaluate the applicable of the approach.

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15

Wu, Qing, Shi Ying, You Cong Ni, and Hua Cui. "The Architecture Framework with Exception Handing in SOA." Applied Mechanics and Materials 20-23 (January 2010): 992–97. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.992.

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Service-oriented software systems are inherently complex and have to cope with an increasing number of exceptional conditions in order to meet the system’s dynamic requirements. This work proposes an architecture framework which has exception handling capability. This framework ensures the credibility of service-oriented software, during the architectural stage, by adding exception handling-related architecture elements and modeling exception handling process. It allows a clear separation of concerns between the business function and the exception handling unit, using reflection mechanism. It plays an important guiding role for achieving reliable service-oriented system.

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16

Cui, Ji Tao, and Jian Hua Han. "Exception Handling of Composite Services Based on Autonomic Management." Applied Mechanics and Materials 336-338 (July 2013): 2537–43. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2537.

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BPEL-based composition of Web services has become one important part of business processes, but because of the dynamic and complexity of network, it easily raises various exceptions during the execution. In order to address various exceptions may exist in execution of composite Web services process effectively; this paper proposes an effective exception handling model of composite Web services in combination of the autonomic management theories and techniques in the field of autonomic computing. This model incorporates the autonomic management element of autonomic computing to monitor the execution of composite services and to compensate or restore the business process of the composite services according to the specified policy when an exception occurs. The model enhances the exception handling autonomy while reducing the complexity of exception handling of composite services.

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17

Snyder, Van. "Exception Handling in Fortran." ACM SIGPLAN Fortran Forum 35, no. 2 (July 29, 2016): 24–27. http://dx.doi.org/10.1145/2980025.2980028.

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18

Snyder, Van. "Exception Handling in Fortran." ACM SIGPLAN Fortran Forum 34, no. 1 (April 3, 2015): 5–9. http://dx.doi.org/10.1145/2754942.2754943.

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19

Lucas, Jim. "Array oriented exception handling." ACM SIGAPL APL Quote Quad 15, no. 4 (May 12, 1985): 1–4. http://dx.doi.org/10.1145/255315.255318.

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20

Cui, Q., and J. Gannon. "Data-oriented exception handling." IEEE Transactions on Software Engineering 18, no. 5 (May 1992): 393–401. http://dx.doi.org/10.1109/32.135772.

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21

Buhr, P. A., and W. Y. R. Mok. "Advanced exception handling mechanisms." IEEE Transactions on Software Engineering 26, no. 9 (2000): 820–36. http://dx.doi.org/10.1109/32.877844.

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22

Romanovsky, Alexander, and Bo Sandén. "Except for exception handling …" ACM SIGAda Ada Letters XXI, no. 3 (September 2001): 19–25. http://dx.doi.org/10.1145/568671.568678.

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23

Cox, I. J., and N. H. Gehani. "Exception handling in robotics." Computer 22, no. 3 (March 1989): 43–49. http://dx.doi.org/10.1109/2.16224.

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24

VISSER, A. "An exception-handling framework." International Journal of Computer Integrated Manufacturing 8, no. 3 (May 1995): 197–203. http://dx.doi.org/10.1080/09511929508944645.

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25

Dillenburg, Fabiane Cristine, and Jorge Luis Victoria Barbosa. "Context-oriented exception handling." International Journal of High Performance Systems Architecture 2, no. 1 (2009): 16. http://dx.doi.org/10.1504/ijhpsa.2009.030095.

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26

Markus, Arjen. "Exception handling in Fortran." ACM SIGPLAN Fortran Forum 32, no. 2 (July 12, 2013): 7–13. http://dx.doi.org/10.1145/2502932.2502933.

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27

Afanasyev, Vitaly Olegovich, Varvara Viktorovna Dvortsova, and Alexey Evgenevich Borodin. "Static analysis for languages with exception handling." Proceedings of the Institute for System Programming of the RAS 34, no. 6 (2022): 7–28. http://dx.doi.org/10.15514/ispras-2022-34(6)-1.

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This paper describes static analysis for the languages with exception handling. A low level intermediate representation, which supports exceptions, is proposed in this study. Data flow analyses for unreachable code detection were described. А general scheme of static analysis that takes exception related paths into account was given. The algorithms were implemented as a part of the static analysis tool Svace for C++, Java and Kotlin languages.

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28

Rashkovits, Rami, and Ilana Lavy. "Students’ Strategies for Exception Handling." Journal of Information Technology Education: Research 10 (2011): 183–207. http://dx.doi.org/10.28945/1500.

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29

Perry, D. E., A. Romanovsky, and A. Tripathi. "Current trends in exception handling." IEEE Transactions on Software Engineering 26, no. 9 (September 2000): 817–19. http://dx.doi.org/10.1109/tse.2000.877843.

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30

Perry, D. E., A. Romanovsky, and A. Tripathi. "Current trends in exception handling." IEEE Transactions on Software Engineering 26, no. 10 (October 2000): 921–22. http://dx.doi.org/10.1109/tse.2000.879816.

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31

Gauthier, Michel. "Exception Handling in Ada-94." ACM SIGAda Ada Letters XV, no. 1 (January 1995): 70–83. http://dx.doi.org/10.1145/199682.569227.

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32

Hull, T. E., M. S. Cohen, J. T. M. Sawshuk, and D. B. Wortman. "Exception handling in scientific computing." ACM Transactions on Mathematical Software 14, no. 3 (September 1988): 201–17. http://dx.doi.org/10.1145/44128.44129.

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33

Jakšić, Svetlana, and Luca Padovani. "Exception handling for copyless messaging." Science of Computer Programming 84 (May 2014): 22–51. http://dx.doi.org/10.1016/j.scico.2013.05.001.

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34

Turba, Thomas N. "The Pascal exception handling proposal." ACM SIGPLAN Notices 20, no. 8 (August 1985): 93–98. http://dx.doi.org/10.1145/988346.988360.

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35

Schilling, Jonathan L. "Optimizing away C++ exception handling." ACM SIGPLAN Notices 33, no. 8 (August 1998): 40–47. http://dx.doi.org/10.1145/286385.286390.

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36

Bernot, Gilles, Pascale Le Gall, and Marc Aiguier. "Label algebras and exception handling." Science of Computer Programming 23, no. 2-3 (December 1994): 227–86. http://dx.doi.org/10.1016/0167-6423(94)00021-2.

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37

Liu, Leo Y., and R. K. Shyamasundar. "Exception handling in RT-CDL." Computer Languages 15, no. 3 (January 1990): 177–92. http://dx.doi.org/10.1016/0096-0551(90)90010-m.

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38

Drew, Steven J., and K. John Gough. "Exception handling: Expecting the unexpected." Computer Languages 20, no. 2 (May 1994): 69–87. http://dx.doi.org/10.1016/0096-0551(94)90015-9.

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39

Szalas, Andrzej, and Danuta Szczepanska. "Exception handling in parallel computations." ACM SIGPLAN Notices 20, no. 10 (October 1985): 95–104. http://dx.doi.org/10.1145/382286.382385.

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40

Black, David L., David B. Golub, Karl Hauth, Avadis Tevanian, and Richard Sanzi. "The mach exception handling facility." ACM SIGPLAN Notices 24, no. 1 (January 3, 1989): 45–56. http://dx.doi.org/10.1145/69215.69220.

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41

Ding, Yue Hua, and Ri Hua Xiang. "Exception Throwing Analysis and Exception Handling Method for BPEL." Advanced Materials Research 1030-1032 (September 2014): 1905–8. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1905.

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Business developer needs to develop fault-tolerant process, but fault-tolerant process development based on exception handling mechanism provided by BPEL costs much time and is easy to make mistake. We analyze application exception throw chain theory of service-oriented system. Exception throwing of BPEL process is broadcasted among component layer, service layer and process layer. We also propose an application exception handling method for BPEL by using EHPDL-P. EHPDL-P can separate normal business logic and exception business logic, and thus it can enhance BPEL fault-tolerance ability.

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42

Tanneru, Bhargavi. "A Study on Efficient Exception Handling in Java: A Crucial Aspect for Robust Software Development." International Journal of Core Engineering & Management 5, no. 10 (June 7, 2019): 46–51. https://doi.org/10.5281/zenodo.14903615.

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Exception handling is a technical necessity and a key aspect of creating stable and user-friendly software. Java provides a robust toolkit to recognize, answer, and recuperate from unexpected issues. This paper discusses common error management pitfalls and explores techniques to handle exceptions effectively. It draws attention to the significant benefits of effective exception handling, empowering developers to write cleaner, more resilient, and maintainable code while reducing debugging time and improving reliability.

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43

Wang, Quan Yu, Shi Ying, Xiang Yang Jia, Guo Bin Lv, and Yun Shuai. "SOADL-EH: Service-Oriented Architecture Description Language Supporting Exception Handling." Advanced Materials Research 433-440 (January 2012): 3500–3509. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3500.

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To solve the problem of the construction of service-oriented software architecture with fault tolerant, the paper proposes SOADL-EH, a novel service-oriented software architecture description language supporting exception handling. With the capability of modeling normal SOA and the provision of software architecture elements such as exception handling services, exception handling connectors and exception handling configurations, etc., this language can separate clearly the exception handling logic from the normal business logic of the service-oriented software architecture layer, which makes up the shortage in exception handling capability of the existing Architecture description language.

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44

Syed, Saif Ahmad Abidi. "Review on Software Dependability and Exception Handling for the Object-Oriented Design Phase." i-manager’s Journal on Software Engineering 17, no. 2 (2022): 31. http://dx.doi.org/10.26634/jse.17.2.19182.

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The issue of dependability and exception handling is very important, and it is best to address the dependability of software at the very early stage or beginning of the development life cycle. The Object-Oriented Design (OOD) phase works as a base. The object-oriented approach is used to represent the problem domain and clearly understand the design. This paper defines dependability and exception handling that must be addressed during the design phase. Dependability can be achieved through the proper placement or management of design characteristics and the establishment of relationships between them and to develop an exception-handling model that provides a distinct and transparent separation between a component's regular activity and its exceptional action.

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45

Khadri, Syed Waheeduddin, Irfan Khan Mohammed, Haroon Rasheed, and Shravan Kumar Reddy Gunda. "Adaptive Trade Exception Handling in Financial Institutions: A Reinforcement Learning Approach with Dynamic Policy Optimization." Journal of Cognitive Computing and Cybernetic Innovations(JCCCI) 1, no. 1 (March 2025): 19–23. https://doi.org/10.21276/jccci/2025.v1.i1.4.

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Powerful trade execution systems have been mainly relied upon to manage transactions on financial institutions with ease. Still, the adverse market conditions as well as some system anomalies trigger adaptive exception handling of trades. This paper thus utilizes a reinforcement learning-based technique for dynamic optimization of policy for handling trade exceptions. The introduced model learns constantly from historical as well as real-time trade data in order to develop its skill of decision making, minimize false positives, and maximize operational effectiveness. Using machine learning algorithms such as Q-learning and DDPG, the system learns dynamically according to changes in the market and thus effectively handles trade exceptions. Our results were that adaptive reinforcement learning models are better than static rule-based systems in handling trade exception cases and thus may be considered as the scalable intelligent solution for financial organizations. This research casts a little light on the role of AI-driven automation in compliance monitoring, risk management, and trade surveillance.

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46

Jiang, Xiao Peng, Run Xiao Wang, Tao Li, Zhi Qing Luo, and Dong Bo Wang. "Reconfiguration Methods for Exception Handling in Reconfigurable Manufacturing Systems." Materials Science Forum 532-533 (December 2006): 628–31. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.628.

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Reconfigurable manufacturing systems (RMS) offer capabilities for quick adjustment of production capacity and functionality in response to sudden changes in market conditions. Both at the system and at the cell level exception events occur dynamically and unpredictably during the production process. These exceptions interrupt the production process by causing errors in the schedule plan. Error/ exception handling is the policy how to deal with errors caused by the occurrence of out-of-ordinary events. Author explores the new strategies to handling error events and proposes an intelligent control structure for real-time error handling, and illustrates the reconfiguration ability is the new crucial technological factor enabling new strategies to handle out-of-ordinary events of the production process.

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47

Shang, Zong Min. "An Exception Handling Approach for Service-Based Business Processes." Advanced Materials Research 605-607 (December 2012): 1700–1704. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1700.

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This paper proposes an exception handling mechanism for running reliable service-based business processes. With Smart Process-based Application Model that we have proposed, a smart process is generated automatically according to the execution of composite web services to better meet user’s individual requirements. However, the loosely-coupled nature of the smart process introduces more exceptions during its running. This paper will mainly focus on the failures of a smart process, and give an approach to handle exceptions. Based on Execution Transition Diagram(ETD) and several execution states we define in this paper, exceptions can be handled automatically by selecting rational transitions in the ETD during the execution of a smart process.

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48

Dony, Christophe, Jan Purchase, and Russel Winder. "Exception handling in object-oriented systems." ACM SIGPLAN OOPS Messenger 3, no. 2 (April 1992): 17–30. http://dx.doi.org/10.1145/130943.130948.

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49

Lerner, B. S., S. Christov, L. J. Osterweil, R. Bendraou, U. Kannengiesser, and A. Wise. "Exception Handling Patterns for Process Modeling." IEEE Transactions on Software Engineering 36, no. 2 (March 2010): 162–83. http://dx.doi.org/10.1109/tse.2010.1.

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50

Kechagia, Maria. "Exception handling evaluation of large APIs." XRDS: Crossroads, The ACM Magazine for Students 21, no. 3 (March 27, 2015): 16–17. http://dx.doi.org/10.1145/2745392.

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