Exceptions, Wrapper Classes, and File
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The Basics of Exception Handling
The Basics of Exception Handling MIPS uses two coprocessors: C0 and C1 for additional help. C0 primarily helps with exception handling, and C1 helps with floating point arithmetic. Each coprocessor has a few registers. Interrupts Initiated outside the instruction stream Arrive asynchronously (at no specific time), Example: o I/O device status change o I/O device error condition Traps Occur due to something in instruction stream. Examples: o Unaligned address error o Arithmetic overflow o System call MIPS coprocessor C0 has a cause register (Register 13) that contains a 4-bit code to identify the cause of an exception Cause register pending exception code interrupt Bits 15-10 Bits 5-2 [Exception Code = 0 means I/O interrupt = 12 means arithmetic overflow etc] MIPS instructions that cause overflow (or some other violation) lead to an exception, which sets the exception code. It then switches to the kernel mode (designated by a bit in the status register of C0, register 12) and transfers control to a predefined address to invoke a routine (exception handler) for handling the exception. Interrupt Enable Status register Interrupt Mask 15-8 1 0 Kernel/User (EPC = Exception Program Counter, Reg 14 of C0) Memory L: add $t0, $t1, $t2 overflow! Return address (L+4) Exception handler routine is saved in EPC Next instruction Overflow ra ! EPC; jr ra Invalid instruction ra ! EPC; jr ra System Call ra ! EPC; jr ra The Exception Handler determines the cause of the exception by looking at the exception code bits. Then it jumps to the appropriate exception handling routine. -
Benchmarking the Stack Trace Analysis Tool for Bluegene/L
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Juelich Shared Electronic Resources John von Neumann Institute for Computing Benchmarking the Stack Trace Analysis Tool for BlueGene/L Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz published in Parallel Computing: Architectures, Algorithms and Applications , C. Bischof, M. B¨ucker, P. Gibbon, G.R. Joubert, T. Lippert, B. Mohr, F. Peters (Eds.), John von Neumann Institute for Computing, J¨ulich, NIC Series, Vol. 38, ISBN 978-3-9810843-4-4, pp. 621-628, 2007. Reprinted in: Advances in Parallel Computing, Volume 15, ISSN 0927-5452, ISBN 978-1-58603-796-3 (IOS Press), 2008. c 2007 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above. http://www.fz-juelich.de/nic-series/volume38 Benchmarking the Stack Trace Analysis Tool for BlueGene/L Gregory L. Lee1, Dong H. Ahn1, Dorian C. Arnold2, Bronis R. de Supinski1, Barton P. Miller2, and Martin Schulz1 1 Computation Directorate Lawrence Livermore National Laboratory, Livermore, California, U.S.A. E-mail: {lee218, ahn1, bronis, schulzm}@llnl.gov 2 Computer Sciences Department University of Wisconsin, Madison, Wisconsin, U.S.A. E-mail: {darnold, bart}@cs.wisc.edu We present STATBench, an emulator of a scalable, lightweight, and effective tool to help debug extreme-scale parallel applications, the Stack Trace Analysis Tool (STAT). -
A Framework for the Development of Multi-Level Reflective Applications
A Framework for the Development of Multi-Level Reflective Applications Federico Valentino, Andrés Ramos, Claudia Marcos and Jane Pryor ISISTAN Research Institute Fac. de Ciencias Exactas, UNICEN Pje. Arroyo Seco, B7001BBO Tandil, Bs. As., Argentina Tel/Fax: +54-2293-440362/3 E-mail: {fvalenti,aramos,cmarcos,jpryor}@exa.unicen.edu.ar URL: http://www.exa.unicen.edu.ar/~isistan Abstract. Computational reflection has become a useful technique for developing applications that are able to observe and modify their behaviour. Reflection has evolved to the point where it is being used to address a variety of application domains. This paper presents a reflective architecture that has been developed as a framework that provides a flexible reflective mechanism for the development of a wide range of applications. This architecture supports many meta-levels, where each one may contain one or more planes. A plane groups components that deal with the same functionality, and so enhances the separation of concerns in the system. The reflective mechanism permits different types of reflection, and also incorporates the runtime handling of potential conflicts between competing system components. The design and implementation of this framework are described, and an example illustrates its characteristics. 1. Introduction Reflective architectures provide a degree of flexibility that allows designers to adapt and add functionality to software systems in a transparent fashion. Since its onset, computational reflection has been proposed and used for the solving of many different problem domains in software engineering: aspect-oriented programming [PDF99, PBC00], multi-agent systems [Zun00], concurrency programming [WY88, MMY93], distributed systems [Str93, OI94, OIT92], and others. -
Support for Understanding and Writing Exception Handling Code
Moonstone: Support for Understanding and Writing Exception Handling Code Florian Kistner,y Mary Beth Kery,z Michael Puskas,x Steven Moore,z and Brad A. Myersz fl[email protected], [email protected], [email protected], [email protected], [email protected] y Department of Informatics, Technical University of Munich, Germany z Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA x School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA Abstract—Moonstone is a new plugin for Eclipse that supports developers in understanding exception flow and in writing excep- tion handlers in Java. Understanding exception control flow is paramount for writing robust exception handlers, a task many de- velopers struggle with. To help with this understanding, we present two new kinds of information: ghost comments, which are transient overlays that reveal potential sources of exceptions directly in code, and annotated highlights of skipped code and associated handlers. To help developers write better handlers, Moonstone additionally provides project-specific recommendations, detects common bad practices, such as empty or inadequate handlers, and provides automatic resolutions, introducing programmers to advanced Java exception handling features, such as try-with- resources. We present findings from two formative studies that informed the design of Moonstone. We then show with a user study that Moonstone improves users’ understanding in certain Fig. 1. Overview of Moonstone’s features. areas and enables developers to amend exception handling code more quickly and correctly. it difficult to assess the behavior of the software system [1]. While novices particularly struggle with exception handling I. -
Programming with Exceptions in Jcilk$
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Science of Computer Programming 63 (2006) 147–171 www.elsevier.com/locate/scico Programming with exceptions in JCilk$ John S. Danaher, I.-Ting Angelina Lee∗, Charles E. Leiserson Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Received 29 December 2005; received in revised form 7 May 2006; accepted 18 May 2006 Available online 25 September 2006 Abstract JCilk extends the serial subset of the Java language by importing the fork-join primitives spawn and sync from the Cilk multithreaded language, thereby providing call-return semantics for multithreaded subcomputations. In addition, JCilk transparently integrates Java’s exception handling with multithreading by extending the semantics of Java’s try and catch constructs, but without adding new keywords. This extension is “faithful” in that it obeys Java’s ordinary serial semantics when executed on a single processor. When executed in parallel, however, an exception thrown by a JCilk computation causes its sibling computations to abort, which yields a clean semantics in which the enclosing cilk try block need only handle a single exception. The exception semantics of JCilk allows programs with speculative computations to be programmed easily. Speculation is essential in order to parallelize programs such as branch-and-bound or heuristic search. We show how JCilk’s linguistic mechanisms can be used to program the “queens” puzzle and a parallel alpha–beta search. We have implemented JCilk’s semantic model in a prototype compiler and runtime system, called JCilk-1. -
CS 6110 S11 Lecture 15 Exceptions and First-Class Continuations 26 February 2010
CS 6110 S11 Lecture 15 Exceptions and First-Class Continuations 26 February 2010 1 CPS and Strong Typing Now let us use CPS semantics to augment our previously defined FL language translation so that it supports runtime type checking. This time our translated expressions will be functions of ρ and k denoting an environment and a continuation, respectively. The term E[[e]]ρk represents a program that evaluates e in the environment ρ and sends the resulting value to the continuation k. As before, assume that we have an encoding of variable names x and a representation of environments ρ along with lookup and update functions lookup ρ x and update ρ x v. In addition, we want to catch type errors that may occur during evaluation. As before, we use integer tags to keep track of types: 4 4 4 Err = 0 Null = 1 Bool = 2 4 4 4 Num = 3 Tuple = 4 Func = 5 A tagged value is a value paired with its type tag; for example, (0; true). Using these tagged values, we can now define a translation that incorporates runtime type checking: 4 E[[x]]ρk = k (lookup ρ x) 4 E[[b]]ρk = k (Bool; b) 4 E[[n]]ρk = k (Num; n) 4 E[[nil]]ρk = k (Null; 0) 4 E[[(e1; : : : ; en)]]ρk = E[[e1 ]]ρ(λv1 :::: E[[e2 ]]ρ(λv2 :::: [[E ]]en ρ(λvn : k (Tuple; n; (v1; : : : ; vn))))) 4 E[[let x = e1 in e2 ]]ρk = E[[e1 ]]ρ(λp: E[[e2 ]] (update ρ x p) k) 4 E[[λx: e]]ρk = k (Func; λxk: E[[e]](update ρ x x)k) 4 E[[error]]ρk = k (Err; error): Now a function application can check that it is actually applying a function: 4 E[[e0 e1 ]]ρk = E[[e0 ]]ρ(λp: let (t; f) = p in if t =6 Func then error else E[[e1 ]]ρ(λv: fvk)) We can simplify this by defining a helper function check-fn: 4 check-fn = λkp: let (t; f) = p in if t =6 Func then error else kf: The helper function takes in a continuation and a tagged value, checks the type, strips off the tag, and passes the raw (untagged) value to the continuation. -
T. Wolf: on Exceptions As First-Class Objects in Ada 95
On Exceptions as First-Class Objects in Ada 95 Thomas Wolf Paranor AG, Switzerland e–mail: [email protected] Abstract. This short position paper argues that it might gramming languages that show a much better integration be beneficial to try to bring the exception model of of object orientation and exceptions, most notably Java. Ada 95 more in–line with the object–oriented model of In the remainder of this paper, I’ll try to make a case programming. In particular, it is felt that exceptions — being such an important concept for the development of for better integrating exception into the object–oriented fault–tolerant software — have deserved a promotion to paradigm in Ada 95. Section 2 discusses some problems first–class objects of the language. It is proposed to with the current model of exceptions. Section 3 argues resolve the somewhat awkward dichotomy of exceptions for an improved exception model that would solve these and exception occurrences as it exists now in Ada 95 by problems, and section 4 presents a brief summary. treating exceptions as (tagged) types, and exception occurrences as their instances. 2 Exceptions in Ada 95 Keywords. Object–Oriented Exception Handling, Soft- ware Fault Tolerance Exceptions in Ada 95 are seen as some kind of “special objects”: even their declaration looks more like that of an object than a type declaration: 1 Introduction Some_Exception : exception; The exception model of Ada 95 [ARM95] is still basi- Such exceptions can be raised (or thrown, as other lan- cally the same as it was in the original Ada 83 program- guages call it) through a raise statement: ming language; although some improvements did occur: raise Some_Exception; the introduction of the concept of exception occurrences, and some other, minor improvements concerning excep- or through a procedure that passes a string message tion names and messages. -
Engineering Java Byte Code to Detect Exception Information Flow
UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL INSTITUTO DE INFORMÁTICA CURSO DE BACHARELADO EM CIÊNCIA DA COMPUTAÇÃO DENYS HUPEL DA SILVA OLIVEIRA Engineering Java Byte Code to Detect Exception Information Flow Bachelor Thesis Dr. Raul Fernando Weber Advisor Porto Alegre, July 2010 CIP – CATALOGING-IN-PUBLICATION Oliveira, Denys Hupel da Silva Engineering Java Byte Code to Detect Exception Information Flow / Denys Hupel da Silva Oliveira. – Porto Alegre: PPGC da UFRGS, 2010. 41 f.: il. Final Report (Bachelor) – Universidade Federal do Rio Grande do Sul. Curso de Bacharelado em Ciência da Com- putação, Porto Alegre, BR–RS, 2010. Advisor: Raul Fernando Weber. 1. Information flow. 2. Java byte code. 3. Exception flow. 4. Static analysis. 5. Usage control. I. Weber, Raul Fernando. II. Título. UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL Reitor: Prof. Carlos Alexandre Netto Vice-Reitor: Prof. Rui Vicente Oppermann Pró-Reitora de Graduação: Profa. Valquiria Link Bassani Diretor do Instituto de Informática: Prof. Flávio Rech Wagner Coordenador do CIC: Prof. João César Netto Bibliotecária-Chefe do Instituto de Informática: Beatriz Regina Bastos Haro “The wisest mind has something yet to learn.” —GEORGE SANTAYANA ACKNOWLEDGEMENTS I would like to thank my family, who was always there for me, no matter good or bad times, always giving support and important advices. Many thanks to my friends(old ones and some met at the university), who gave me great moments during my graduation, helped me when necessary, and also understood times that I was very busy with university stuff. And I would also like to thank Raul Weber, who was my advisor in this thesis, and helped me whenever necessary. -
Warrior1: a Performance Sanitizer for C++ Arxiv:2010.09583V1 [Cs.SE]
Warrior1: A Performance Sanitizer for C++ Nadav Rotem, Lee Howes, David Goldblatt Facebook, Inc. October 20, 2020 1 Abstract buffer, copies the data and deletes the old buffer. As the vector grows the buffer size expands in a geometric se- This paper presents Warrior1, a tool that detects perfor- quence. Constructing a vector of 10 elements in a loop mance anti-patterns in C++ libraries. Many programs results in 5 calls to ’malloc’ and 4 calls to ’free’. These are slowed down by many small inefficiencies. Large- operations are relatively expensive. Moreover, the 4 dif- scale C++ applications are large, complex, and devel- ferent buffers pollute the cache and make the program run oped by large groups of engineers over a long period of slower. time, which makes the task of identifying inefficiencies One way to optimize the performance of this code is to difficult. Warrior1 was designed to detect the numerous call the ’reserve’ method of vector. This method will small performance issues that are the result of inefficient grow the underlying storage of the vector just once and use of C++ libraries. The tool detects performance anti- allow non-allocating growth of the vector up to the speci- patterns such as map double-lookup, vector reallocation, fied size. The vector growth reallocation is a well known short lived objects, and lambda object capture by value. problem, and there are many other patterns of inefficiency, Warrior1 is implemented as an instrumented C++ stan- some of which are described in section 3.4. dard library and an off-line diagnostics tool. -
Mopping up Exceptions S
MOPping up Exceptions S. E. Mitchell, A. Burns and A. J. Wellings, Department of Computer Science, University of York, UK Abstract: This paper describes the development of a model for the reflective treatment of both application and environmentally sourced exceptions. We show how a variety of exception models can be implemented using an exception handler at the metalevel. The approach described allows for better separation of exceptional and normal error-free program code producing systems that are easier to understand and therefore maintain. Keywords: metalevel architecture, reflection, exceptions. 1 Introduction with particular emphasis on the relationship between concurrency and reflective The principle reason for the inclusion of exceptions. Finally, we evaluate the exception handling mechanisms in effectiveness of the work with respect to the programming languages is a desire to success of reflection in producing the separate error handling from the programs required separation of concerns. normal operation [Burns and Wellings, 1996]. This is in line with the justification 1.1 Non-reflective Exception Models for the use of reflection in system design – in that its use aids in the separation of The exception model that we explore within concerns. this paper is derived from the common non- reflective one of exceptions being raised Despite this desire for a separation, in many (thrown) and subsequently (possibly) caught approaches the handler code is still within a separate section of code (termed the intermingled with application code, albeit exception handler) usually at the end of an moved to the end of a program block. In this exception block. Exceptions that are not paper we explore the use of reflective caught by any exception handler currently principles to complete the separation of within scope are propagated back up to the concerns by attempting to operate on previous level – the caller – and the search exceptions at the metalevel. -
Finding Error-Handling Bugs in Systems Code Using Static Analysis∗
Finding Error-Handling Bugs in Systems Code Using Static Analysis∗ Cindy Rubio-González Ben Liblit Computer Sciences Department, University of Wisconsin–Madison 1210 W Dayton St., Madison, Wisconsin, United States of America {crubio, liblit}@cs.wisc.edu ABSTRACT error handling. Exceptional conditions must be considered Run-time errors are unavoidable whenever software interacts during all phases of software development [18], introducing with the physical world. Unchecked errors are especially interprocedural control flow that can be difficult to reason about pernicious in operating system file management code. Tran- [3, 19, 22]. As a result, error-handling code is usually scattered sient or permanent hardware failures are inevitable, and error- across different functions and files, making software more com- management bugs at the file system layer can cause silent, plex and less reliable. unrecoverable data corruption. Furthermore, even when devel- Modern programming languages such as Java, C++ and C# opers have the best of intentions, inaccurate documentation can provide exception-handling mechanisms. On the other hand, mislead programmers and cause software to fail in unexpected C does not have explicit exception-handling support, thus pro- ways. grammers have to emulate exceptions in a variety of ways. We use static program analysis to understand and make er- The return-code idiom is among the most popular idioms used ror handling in large systems more reliable. We apply our in large C programs, including operating systems. Errors are analyses to numerous Linux file systems and drivers, finding represented as simple integer codes, where each integer value hundreds of confirmed error-handling bugs that could lead to represents a different kind of error. -
Does the Fault Reside in a Stack Trace? Assisting Crash Localization by Predicting Crashing Fault Residence
The Journal of Systems and Software 148 (2019) 88–104 Contents lists available at ScienceDirect The Journal of Systems and Software journal homepage: www.elsevier.com/locate/jss Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence ∗ Yongfeng Gu a, Jifeng Xuan a, , Hongyu Zhang b, Lanxin Zhang a, Qingna Fan c, Xiaoyuan Xie a, Tieyun Qian a a School of Computer Science, Wuhan University, Wuhan 430072, China b School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan NSW2308, Australia c Ruanmou Edu, Wuhan 430079, China a r t i c l e i n f o a b s t r a c t Article history: Given a stack trace reported at the time of software crash, crash localization aims to pinpoint the root Received 27 February 2018 cause of the crash. Crash localization is known as a time-consuming and labor-intensive task. Without Revised 7 October 2018 tool support, developers have to spend tedious manual effort examining a large amount of source code Accepted 6 November 2018 based on their experience. In this paper, we propose an automatic approach, namely CraTer, which pre- Available online 6 November 2018 dicts whether a crashing fault resides in stack traces or not (referred to as predicting crashing fault res- Keywords: idence ). We extract 89 features from stack traces and source code to train a predictive model based on Crash localization known crashes. We then use the model to predict the residence of newly-submitted crashes. CraTer can Stack trace reduce the search space for crashing faults and help prioritize crash localization efforts.