SELF: the Power of Simplicity*
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Equal Rights for Functional Objects Or, the More Things Change, The
ACM OOPS Messenger 4,4 (Oct. 1993), 2-27. Equal Rights for Functional Objects1 or, The More Things Change, The More They Are the Same2 Henry G. Baker Nimble Computer Corporation 16231 Meadow Ridge Way, Encino, CA 91436 (818) 986-1436 (818) 986-1360 FAX August, October, 1990, October, 1991, and April, 1992 This work was supported in part by the U.S. Department of Energy Contract No. DE-AC03-88ER80663 We argue that intensional object identity in object-oriented programming languages and databases is best defined operationally by side-effect semantics. A corollary is that "functional" objects have extensional semantics. This model of object identity, which is analogous to the normal forms of relational algebra, provides cleaner semantics for the value-transmission operations and built-in primitive equality predicate of a programming language, and eliminates the confusion surrounding "call-by-value" and "call-by-reference" as well as the confusion of multiple equality predicates. Implementation issues are discussed, and this model is shown to have significant performance advantages in persistent, parallel, distributed and multilingual processing environments. This model also provides insight into the "type equivalence" problem of Algol-68, Pascal and Ada. 1. INTRODUCTION Parallel, distributed and persistent programming languages are leaving the laboratories for more wide-spread use. Due to the substantial differences between the semantics and implementations of these languages and traditional serial programming languages, however, some of the most basic notions of programming languages must be refined to allow efficient, portable implementations. In this paper, we are concerned with defining object identity in parallel, distributed and persistent systems in such a way that the intuitive semantics of serial implementations are transparently preserved. -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Technological Advancement in Object Oriented Programming Paradigm for Software Development
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 8 (2019) pp. 1835-1841 © Research India Publications. http://www.ripublication.com Technological Advancement in Object Oriented Programming Paradigm for Software Development Achi Ifeanyi Isaiah1, Agwu Chukwuemeka Odi2, Alo Uzoma Rita3, Anikwe Chioma Verginia4, Okemiri Henry Anaya5 1Department of Maths/Comp Sci/Stats/Info., Faculty of science, Alex Ekwueme University, Ndufu-Alike 2Department of Computer Science, Ebonyi State University-Abakaliki. 3Alex Ekwueme University, Ndufu-Alike, 4Department of Maths/Comp Sci/Stats/Info., Faculty of science, Alex Ekwueme University, Ndufu-Alike 5Department of Maths/Comp Sci/Stats/Info., Faculty of science, Alex Ekwueme University, Ndufu-Alike Abstract and personalization problems. Take for instance, a lot of sophisticated apps are being produced and release in the Object oriented programming paradigm in software market today through the application of OOP. Almost desktop development is one of the most popular methods in the apps are being converted to mobile apps through Java, C++, information technology industry and academia as well as in PHP & MySQL, R, Python etc platform which form the many other forms of engineering design. Software testimony of OOP in the software industries. Software development is a field of engineering that came into existence developer has been revolving using procedural language for owing to the various problems that developers of software the past decade before the advent of OOP. The relationships faced while developing software projects. This paper analyzes between them is that procedural languages focus on the some of the most important technological innovations in algorithm but OOP focuses on the object model itself, object oriented software engineering in recent times. -
Comparative Studies of 10 Programming Languages Within 10 Diverse Criteria
Department of Computer Science and Software Engineering Comparative Studies of 10 Programming Languages within 10 Diverse Criteria Jiang Li Sleiman Rabah Concordia University Concordia University Montreal, Quebec, Concordia Montreal, Quebec, Concordia [email protected] [email protected] Mingzhi Liu Yuanwei Lai Concordia University Concordia University Montreal, Quebec, Concordia Montreal, Quebec, Concordia [email protected] [email protected] COMP 6411 - A Comparative studies of programming languages 1/139 Sleiman Rabah, Jiang Li, Mingzhi Liu, Yuanwei Lai This page was intentionally left blank COMP 6411 - A Comparative studies of programming languages 2/139 Sleiman Rabah, Jiang Li, Mingzhi Liu, Yuanwei Lai Abstract There are many programming languages in the world today.Each language has their advantage and disavantage. In this paper, we will discuss ten programming languages: C++, C#, Java, Groovy, JavaScript, PHP, Schalar, Scheme, Haskell and AspectJ. We summarize and compare these ten languages on ten different criterion. For example, Default more secure programming practices, Web applications development, OO-based abstraction and etc. At the end, we will give our conclusion that which languages are suitable and which are not for using in some cases. We will also provide evidence and our analysis on why some language are better than other or have advantages over the other on some criterion. 1 Introduction Since there are hundreds of programming languages existing nowadays, it is impossible and inefficient -
Eliminating the Call Stack to Save RAM
Eliminating the Call Stack to Save RAM Xuejun Yang Nathan Cooprider John Regehr University of Utah BAE Systems AIT University of Utah [email protected] [email protected] [email protected] Abstract it is likely to use some of its RAM to store one or more call stacks: Most programming languages support a call stack in the program- chains of activation records representing the state of executing ming model and also in the runtime system. We show that for appli- functions. From the point of view of the compiler, targeting a run- cations targeting low-power embedded microcontrollers (MCUs), time system based on a callstack has important benefits. First, the RAM usage can be significantly decreased by partially or com- stack is memory-efficient: variables live only as long as they are pletely eliminating the runtime callstack. We present flattening, needed. Second, the stack is time-efficient, supporting allocation a transformation that absorbs a function into its caller, replacing and deallocation in a handful of clock cycles. Third, compilers can function invocations and returns with jumps. Unlike inlining, flat- rapidly generate high-quality code by compiling one function at tening does not duplicate the bodies of functions that have multiple a time; the small size of the typical function makes it possible to callsites. Applied aggressively, flattening results in stack elimina- run aggressive intraprocedural optimizations while also achieving tion. Flattening is most useful in conjunction with a lifting transfor- short compile times. mation that moves global variables into a local scope. Our thesis is that despite these well-known benefits: Partially or Flattening and lifting can save RAM. -
Merging Equivalent Contexts for Scalable Heap-Cloning-Based Context-Sensitive Points-To Analysis∗
Merging Equivalent Contexts for Scalable Heap-Cloning-Based Context-Sensitive Points-to Analysis∗ Guoqing Xu Atanas Rountev Computer Science and Engineering Computer Science and Engineering Ohio State University Ohio State University [email protected] [email protected] ABSTRACT General Terms A context-sensitive points-to analysis maintains separate points- Algorithms, measurement, experimentation to relationships for each possible (abstract) calling context of a method. Previous work has shown that a large number of equiv- Keywords alence classes exists in the representation of calling contexts. Such Pointer analysis, points-to analysis, context sensitivity equivalent contexts provide opportunities for context-sensitive anal- yses based on binary decision diagrams (BDDs), in which BDDs 1. INTRODUCTION automatically merge equivalent points-to relationships. However, Context sensitivity in points-to analyses has been studied exten- the use of a BDD “black box” introduces additional overhead for sively; some of this work is summarized in [11, 8, 28]. Most such analysis running time. Furthermore, with heap cloning (i.e., using analyses compute a complete points-to solution for all variables in context-sensitive object allocation sites), BDDs are not as effective a program. Such algorithms usually have to sacrifice analysis pre- because the number of equivalence classes increases significantly. cision for practical scalability. An alternative is a refinement-based A further step must be taken to look inside the BDD black box to approach that performs points-to analysis by answering pointer- investigate where the equivalence comes from, and what tradeoffs related queries raised by a compiler or a client analysis on demand can be employed to enable practical large-scale heap cloning. -
Oaklisp: an Object-Oriented Scheme with First Class Types
Oaklisp: an Object-Oriented Scheme with First Class Types Kevin J. l,ang and llarak A. Peaflmutter Department of Computer Science Carnegie-Mellon University Pittsburgh, PA 15213 Abstract several implications that are not immediately obvious. Because • The Scheme papers demonstrated that lisp could be made simpler function can be applied at a point distant in time and space from ilz and more expressive by elevating functions to the level of first class point of origin, it must be able to remember the bindings of any objects. Oaklisp shows that a message based language can derive variables that were visible when it was made. This additional similar benefits from having first class types. complexity is offset by the ability to write many previously primitive control structures at the user level and by the fact that the special Introduction mechanisms that lisp ordinarily uses for defining and applying Oaklisp is a message based, multiple inheritence dialect of lisp. functions can be dispensed with. Programs are written using lisp syntax, and traditional lisp data types In lisp, the car position of a function call is treated as the name of a coexist with a Smalltalk style class hierarchy. This paper assumes that function which is looked up in a special table and then applied to the the reader is familiar with one of the many object-oriented lisp dialects values obtained by evaluating the arguments of the call. In Scheme, the of this sort. and will therefore concentrate on the unique aspects of car of a call is an evaluated position. Although any expression can Oaklisp which are mostly due to the influence of Scheme. -
Preview ES6 Tutorial (PDF Version)
ES6 ES6 About the Tutorial European Computer Manufacturers Association (ECMAScript) or (ES) is a standard for scripting languages like JavaScript, ActionScript and JScript. It was initially created to standardize JavaScript, which is the most popular implementation of ECMAScript. This tutorial adopts a simple and practical approach through JavaScript to describe the new features in ECMAScript 2015 (ES6), ECMAScript 2016 (ES7), ECMAScript 2017(ES8) and ECMAScript 2018 (ES9). Audience This tutorial is designed for the stemplate oftware programmers who have already worked with JavaScript and wishes to gain in-depth knowledge about the ECMAScript. The tutorial will give you enough understanding on the functionalities of ECMAScript and also about ES6, ES7, ES8 and ES9. Prerequisites An understanding of JavaScript programming concepts is necessary to gain maximum knowledge from this tutorial. Disclaimer & Copyright Copyright 2019 by Tutorials Point (I) Pvt. Ltd. All the content and graphics published in this e-book are the property of Tutorials Point (I) Pvt. Ltd. The user of this e-book is prohibited to reuse, retain, copy, distribute or republish any contents or a part of contents of this e-book in any manner without written consent of the publisher. We strive to update the contents of our website and tutorials as timely and as precisely as possible, however, the contents may contain inaccuracies or errors. Tutorials Point (I) Pvt. Ltd. provides no guarantee regarding the accuracy, timeliness or completeness of our website or its contents including this tutorial. If you discover any errors on our website or in this tutorial, please notify us at [email protected]. -
An Overview of Eulisp
LISP AND SYMBOLIC COMPUTATION An International Journal c Kluwer Academic Publishers Manufactured in The Netherlands An overview of EuLisp JULIAN PADGET japmathsbathacuk University of Bath School of Mathematical Sciences Bath BA AY United Kingdom GREG NUYENS nuyensilogcom Ilog Inc Landings Drive Mountain View CA USA HARRY BRETTHAUER bretthauergmdde German National Research Centre for Computer Science GMD POBox W Sankt Augustin FRG Keywords Lisp mo dules concurrency ob jectoriented programming conditions re ection Abstract This pap er is an abstracted version of the EuLisp denition As such it emphasizes those parts of the language that we consider the most imp ortant or note worthy while we just mention without much detail the elements that are included for completeness This is reected in the structure of the pap er which describ es the mo dule scheme the ob ject system and supp ort for concurrent execution in the main part and consigns the ma jority of the datatyp es to an app endix Intro duction EuLisp is a dialect of Lisp and as such owes much to the great b o dy of work that has b een done on language design in the name of Lisp over the last thirty years The distinguishing features of EuLisp are i the integration of the classical Lisp typ e system and the ob ject system into a single class hierarchy ii the complementary abstraction facilities provided by the class and the mo dule mechanism iii supp ort for concurrent execution Here is a brief summary of the main features of the language Classes are rstclass ob jects The -
Difference Between Shallow and Reference Copy Java
Difference Between Shallow And Reference Copy Java Noland is betwixt venous after unescapable Emmott take-overs his menhirs handsomely. Garold is overnice and hum altogether as faithless Brant fulminate reprehensively and Atticize astuciously. Fourfold Thom bestialising or kyanized some decreets meteorically, however flavourless Torrey gardens jovially or induct. How to convert map stream method as the previous example illustrated in origional object variable is shallow and using serializable and both reference of the object to Depth: Become a Complete Java Engineer! If we use static fields in java and copy. Subscribe to submit your print the difference between shallow reference and copy? It is not going to work correctly if we apply the same method to arrays. Modifications to original object when b are correct me of singleton pattern, lazy copying comes down arrows to become a reference between and shallow copy java. If one of the properties in the original object is an object itself, are we fine now? Later modifications to the content of either are immediately reflected on the contents of ALL other lists. Please enter a valid date. Suitable links to external documentation for common libraries. How To Remove White Spaces from String In Java? Net Shallow copy and deep copy are used for copying data between objects. What is transient variable? In this way you can retrieve the masks in case you need them in the future. Unlike shallow copy, once created, with your way you do not need to pass the object being copied. Joey, a bit by bit copy of the field is performed. -
A Bibliography of Publications in ACM SIGPLAN Notices, 1980–1989
A Bibliography of Publications in ACM SIGPLAN Notices, 1980{1989 Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 20 June 2019 Version 3.26 Title word cross-reference 1 [1625, 1284, 1078]. 1/83 [509]. 100 [1190]. 11 [95, 390, 139, 393]. 11/780 [139]. 1100 [58]. 16-bit [1828]. 164 [721]. 1838 [1612]. 1978 [39]. 1980 [1943, 245]. 1980's [760]. 1981 [1946, 312, 311, 345, 354]. 1982 [1948]. #16G [797]. 1983 [1952, 1953]. 1984 [1955, 1956]. 1985 [1142]. 1986 [1960, 1961, 1962, 18, 19]. 1987 ∗ 3 + [1637]. 2 [1822]. = [328, 1637]. [1586]. [20, 25, 1239, 1357]. 1989 [39]. 198x TM 8 [1105]. [1827]. Ada [140]. [1850]. λ [39, 1388]. [1887]. n [1108]. N ≤ 8 [998, 1145, 1011]. ! 0 [1914]. [1637]. 2' [832, 1004, 941, 1383, 918, 1191, 1500, 1006, 1193, 919, 920, 949, 1007, 1145, 1196, * [918]. 950, 1376, 526, 843, 1158, 837, 1633, 800, 782, 913, 748, 1155, 1149, 791, 790, 1554, -calculus [1887]. -dimensional [1822]. 452, 634, 459, 1183, 966, 688, 842, 967]. 2000 -ively [1521]. [1833, 1844, 1847]. /information [195]. 3 [1924, 1477]. 32 [375, 371]. 32-bit [1828]. 370 [1203]. 0-201-17928-8 [1614]. 002R [1356]. 1 2 432 [650, 387]. 4381 [1269]. ACM-SIGPLAN [1943]. ACM/SIGPLAN [1971]. Acore [1645]. 6 [619]. 68 [513, 66, 107]. -
Cloning-Based Context-Sensitive Pointer Alias Analysis Using Binary Decision Diagrams
Cloning-Based Context-Sensitive Pointer Alias Analysis Using Binary Decision Diagrams John Whaley Monica S. Lam Computer Science Department Stanford University Stanford, CA 94305 {jwhaley, lam}@stanford.edu ABSTRACT 1. INTRODUCTION This paper presents the first scalable context-sensitive, inclusion- Many applications of program analysis, such as program opti- based pointer alias analysis for Java programs. Our approach to mization, parallelization, error detection and program understand- context sensitivity is to create a clone of a method for every con- ing, need pointer alias information. Scalable pointer analyses text of interest, and run a context-insensitive algorithm over the ex- developed to date are imprecise because they are either context- panded call graph to get context-sensitive results. For precision, insensitive[3, 17, 19, 33] or unification-based[15, 16]. A context- we generate a clone for every acyclic path through a program’s call insensitive analysis does not distinguish between different calling graph, treating methods in a strongly connected component as a sin- contexts of a method and allows information from one caller to gle node. Normally, this formulation is hopelessly intractable as a propagate erroneously to another caller of the same method. In call graph often has 1014 acyclic paths or more. We show that these unification-based approaches, pointers are assumed to be either un- exponential relations can be computed efficiently using binary de- aliased or are pointing to the same set of locations[28]. In contrast, cision diagrams (BDDs). Key to the scalability of the technique is inclusion-based approaches are more efficient but also more expen- a context numbering scheme that exposes the commonalities across sive, as they allow two aliased pointers to point to overlapping but contexts.