Chapter 10 Software Engineering Tools And
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Introduction Development Lifecycle Model
DeveIopment of a Comprehensive Software Engineering Environment Thomas C. Hartrum Gary B. Lamont Department of Electrical and Computer Engineering Department of Electrical and Computer Engineering School of Engineering School of Engineering Air Force Institute of Technology Air Force Institute of Technology Wright-Patterson AFB, Dayton, Ohio, 45433 Wright-Patterson AFB, Dayton, Ohio, 45433 Abstract The concept of an integrated software development environment The generation of a set of tools for the software lifecycle is a recur- can be realized in two distinct levels. The first level deals with the ring theme in the software engineering literature. The development of access and usage mechanisms for the interactive tools, while the sec- such tools and their integration into a software development environ- ond level concerns the preservation of software development data and ment is a difficult task at best because of the magnitude (number of the relationships between the products of the different software life variables) and the complexity (combinatorics) of the software lifecycle cycle stages. The first level requires that all of the component tools process. An initial development of a global approach was initiated at be resident under one operating system and be accessible through a AFIT in 1982 as the Software Development Workbench (SDW). Also common user interface. The second level dictates the need to store de- other restricted environments have evolved emphasizing Ada and di5 velopment data (requirements specifications, designs, code, test plans tributed processing. Continuing efforts focus on tool development, and procedures, manuals, etc.) in an integrated data base that pre- tool integration, human interfacing (graphics; SADT, DFD, structure serves the relationships between the products of the different life cy- charts, ...), data dictionaries, and testing algorithms. -
Testing in the Software Development Life Cycle and Its Importance
International Journal of Engineering and Information Systems (IJEAIS) ISSN: 2643-640X Vol. 3 Issue 9, September – 2019, Pages: 15-20 Testing in the Software Development Life Cycle and its Importance Noortaj Department of Computing and Technology Abasyn University Peshawar, Pakistan Email: [email protected] Abstract : Software development life cycle is a structure followed by the development team within the software organization imposed on the development of software product. The important role of testing in the software development life cycle is to improve the performance, reliability, and quality of the software. I believe testing should be thoroughly planned and conducted throughout the Software development life cycle for best results. Hence, software testing is facing different challenges. In this article, i have explained different phases of the software development life cycle, different testing techniques and its importance. Keywords: Software Development Life Cycle Testing, Testing in the Software Development Process, Software Testing, Importance of testing. 1. INTRODUCTION Testing plays an important role in the software development life-cycle to recognize the defects in the development process and resolve those defects. But before the explanation of the Software development life cycle, I would like to explain the phases of the software development process. Phase 1 Requirement collection and Analysis: For the collection of requirements a discussion is conducted to analyze the requirements and to state how the problem should be solved. The main work of the requirement collection is to determine the anticipated issues and it helps companies to finalize the necessary timeline in order to complete the work of that system in time. -
Job Description - Software Engineer I
Job Description - Software Engineer I Department: Engineering - 2013-03 Exemption Status: Non-Exempt Summary: This position is responsible for software development in multi-application, multi-server, and hosted environments. The candidate will primarily provide system/configuration support with a focus in helping the needs of both internal and external customers. He or she will participate in all facets of software and system development life-cycle. The most qualified candidate for this role will have experience working with business intelligence in the public safety and/or public health software fields and have formal software education and/or a ton of practical experience. We develop primarily in C#, .NET, SQL, SSRS and mobile. Anyone that might fit well at FirstWatch must be hard-working, people-oriented, friendly, patient, a fast learner, think quickly on their feet, take initiative and responsibility, and LOVE providing our customers great and honest customer service. This person will need to maintain a high quality productivity level within a fast paced environment. This position shares responsibility (rotates) with other engineering staff for 24×7 on call duties and so must be able to thrive in this environment. Responsibilities: - Maintain and modify the software and system configurations of production, staged, and test applications. - Interface with different stakeholders to determine and propose appropriate and effective technology solutions to meet business and technical objectives. - Develop interfaces, applications and other technical solutions to support the business needs through the planning, analysis, design, development, implementation and maintenance phases of the software and systems development lifecycle. - Create system requirements, technical specifications, and test plans. -
Definition of Software Construction Artefacts for Software Construction
Chapter 3: Internet and Applications Definition of Software Construction Artefacts for Software Construction M.Zinn, G.Turetschek and A.D.Phippen Centre for Information Security and Network Research, University of Plymouth, Plymouth United Kingdom e-mail: [email protected]; [email protected], [email protected] Abstract The definition of a service based software construction process, published in 2007 (Zinn, 2007), builds on the use of software construction artefacts (SCA). These artefacts form useable building blocks (units of modelling) for software, which can be implemented in a software product by a service. The building blocks are categorized in four different types (GUI, data, function and structure). The foundation for the use of these artefacts is the method of the software construction process which constructs the software similar to the methods used in computer aided design (CAD). This paper refines and expands on the definition of the artefacts to present the current state of research in software construction procedures. It will show how the artefacts are constructed and how they can be used in software construction. In addition the software construction artefacts will be compared to components, modules and objects. Based on this definition of the application area, further potential scenarios for the use of the artefacts, as well as their properties and points still being worked on, are shown. The purpose is to create a more exact description, definition of the software construction artefacts to obtain a better understanding of the software construction process. Keywords Computer Aided Design (CAD), software construction process (SCP), software engineering, (web) services, software construction artefacts (SCA) and software construction services (SCS), model driven development (MDD) 1. -
Structured Programming - Retrospect and Prospect Harlan D
University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange The aH rlan D. Mills Collection Science Alliance 11-1986 Structured Programming - Retrospect and Prospect Harlan D. Mills Follow this and additional works at: http://trace.tennessee.edu/utk_harlan Part of the Software Engineering Commons Recommended Citation Mills, Harlan D., "Structured Programming - Retrospect and Prospect" (1986). The Harlan D. Mills Collection. http://trace.tennessee.edu/utk_harlan/20 This Article is brought to you for free and open access by the Science Alliance at Trace: Tennessee Research and Creative Exchange. It has been accepted for inclusion in The aH rlan D. Mills Collection by an authorized administrator of Trace: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. mJNDAMNTL9JNNEPTS IN SOFTWARE ENGINEERING Structured Programming. Retrospect and Prospect Harlan D. Mills, IBM Corp. Stnuctured program- 2 ' dsger W. Dijkstra's 1969 "Struc- mon wisdom that no sizable program Ste red .tured Programming" articlel could be error-free. After, many sizable ming haxs changed ho w precipitated a decade of intense programs have run a year or more with no programs are written focus on programming techniques that has errors detected. since its introduction fundamentally alteredhumanexpectations and achievements in software devel- Impact of structured programming. two decades ago. opment. These expectations and achievements are However, it still has a Before this decade of intense focus, pro- not universal because of the inertia of lot of potentialfor gramming was regarded as a private, industrial practices. But they are well- lot of fo puzzle-solving activity ofwriting computer enough established to herald fundamental more change. -
It Software Engineer 1
Pierce County Classification Description IT SOFTWARE ENGINEER 1 Department: Finance FLSA: Non-Exempt Job Class #: 632700 Represented: No Pay Range: Professional 15 Classification descriptions are intended to present a descriptive list of the range of duties performed by employees in this class and are not intended to reflect all duties performed within the job. GENERAL FUNCTION: This is professional, technical, analytical, and customer-oriented work in the Software Development Division of the Information Technology Division of Finance. An employee in this classification provides technical expertise to Pierce County departments and agencies in multiple areas. The Software Engineer 1 may include any or all of the essential functions listed below and functions as an IT professional in the capacity of a software designer, coder, and project manager. SERIES CONCEPT: This is the first level in the series. This classification is distinguished from other IT Software Engineers by performing a narrower range of technically complex duties and the level of direction required to perform job functions. ESSENTIAL FUNCTIONS: Perform professional functions in software programming and analysis. Assist in designing, coding, testing, deploying, maintaining, enhancing, and supporting County software systems. Assist in working with business customers in translating requirements into plans and specifications. Assist in developing new software and customize, developing interfaces to, or integrating with third- party business systems. Work in a team-based environment, communicating effectively with all levels of staff and management. Collaborate on the identification of business and system requirements. Address customer’s information needs by developing technology solutions and supporting information and technology systems on multiple computing platforms. -
A Parallel Program Execution Model Supporting Modular Software Construction
A Parallel Program Execution Model Supporting Modular Software Construction Jack B. Dennis Laboratory for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 U.S.A. [email protected] Abstract as a guide for computer system design—follows from basic requirements for supporting modular software construction. A watershed is near in the architecture of computer sys- The fundamental theme of this paper is: tems. There is overwhelming demand for systems that sup- port a universal format for computer programs and software The architecture of computer systems should components so users may benefit from their use on a wide reflect the requirements of the structure of pro- variety of computing platforms. At present this demand is grams. The programming interface provided being met by commodity microprocessors together with stan- should address software engineering issues, in dard operating system interfaces. However, current systems particular, the ability to practice the modular do not offer a standard API (application program interface) construction of software. for parallel programming, and the popular interfaces for parallel computing violate essential principles of modular The positions taken in this presentation are contrary to or component-based software construction. Moreover, mi- much conventional wisdom, so I have included a ques- croprocessor architecture is reaching the limit of what can tion/answer dialog at appropriate places to highlight points be done usefully within the framework of superscalar and of debate. We start with a discussion of the nature and VLIW processor models. The next step is to put several purpose of a program execution model. Our Parallelism processors (or the equivalent) on a single chip. -
Object-Oriented Software Construction Oriented Software Construction Software Construction I Software Construction II
ObjectObject--orientedoriented software construction Analysis/Requirements: What am I doing? Design: Which classes and methods? Implementation: How do I do it? Testing: Does it work? Maintenance: I just turn it in, right? Software Construction I z Programming is not just coding and debugging! z Analysis Analysis – English description of what system models, Design to meet a requirement or specification Implementation – Usually involves working with non-programmer Testing Maintenance to develop detailed specifications Waterfall model of software development z DiDesign: Mtit!Measure twice, cut once! – divide & conquer: system is composed of smaller subsystems which in turn may be composed of even smaller subsystems z OOP, system is decomposed into a set of cooperating objects – Pseudocode: describe tasks, subtasks, and how they relate – hand-simulation: desk-check pseudocode by stepping through it without using a computer – often use diagrams to better communicate the structure of the system z Often flowcharts in procedural languages and UML diagrams in OOP Wright State University, College of Engineering CS 241 Dr. T. Doom, Computer Science & Engineering Computer Programming II 58 Software Construction II z Implementation – Pick a language Analysis Design – emphasize good problem decomposition, Implementation well structured design, and readable, Testing well-documented programming style Maintenance –mayyg need to backtrack and redesign Waterfall model of software development z Testing – submitting input data or sample user interactions and seeing if program reacts properly – typically done in stages, starting with individual components and working up to subsystems, and eventually the entire program – bugs: errors in code or design – debugging: process of removing program bugs Wright State University, College of Engineering CS 241 Dr. -
6.005 Elements of Software Construction Fall 2008
MIT OpenCourseWare http://ocw.mit.edu 6.005 Elements of Software Construction Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 10/15/2008 Today’s Topics how to avoid debugging ¾assertions ¾code reviews how to do it when you have to ¾reducing test cases ¾hypothesis-driven debugging ¾binary search Debugging very hard bugs Rob Miller ¾Heisenbugs Fall 2008 © Robert Miller 2008 © Robert Miller 2008 Defensive Programming First Defense: Impossible By Design first defense against bugs is to make them impossible in the language ¾Java makes buffer overflow bugs impossible ¾automatic array bounds checking make buffer overflow bugs impossible second defense against bugs is to not make them ¾static typing eliminates many runtime type errors ¾correctness: get things riihght first time in the protocols/libraries/modules third defense is to make bugs easy to find ¾TCP/IP guarantees that data is not reordered ¾local visibility of errors: if things fail, we'd rather they fail loudly and ¾BigInteger guarantees that there will be no overflow immediately – e.g. with assertions in self-imposed conventions fourth defense is extensive testing ¾immutable objects can be passed around and shared without fear ¾uncover as many bugs as possible ¾caution: you have to keep the discipline last resort is dbidebugging • get the language to hel p you as much as possible , e.g. with pritivate and final ¾needed when effect of bug is distant from cause © Robert Miller 2008 © Robert Miller 2008 1 10/15/2008 Second Defense: Correctness Third Defense: Immediate Visibility get things right the first time if we can't prevent bugs, we can try to localize them to ¾don’t code before you think! Think before you code. -
Tackling Traceability Challenges Through Modeling Principles in Methodologies Underpinned by Metamodels
Tackling Traceability Challenges through Modeling Principles in Methodologies Underpinned by Metamodels Angelina Espinoza and Juan Garbajosa Universidad Politecnica de Madrid - Technical University of Madrid, System and Software Technology Group (SYST), E.U. Informatica. Ctra. de Valencia Km. 7, E-28031, Spain, http://syst.eui.upm.es; aespinoza -at- syst.eui.upm.es, jgs -at- eui.upm.es Abstract. Traceability is recognized to be essential for supporting soft- ware development. However, a number of traceability issues are still open, such as link semantics formalization or traceability process models. Traceability methodologies underpinned by metamodels are a promis- ing approach. However current metamodels still have serious limitations. Concerning methodologies in general, three hierarchical layered levels have been identified: metamodel, methodology and project. Metamod- els do not often properly support this architecture, and that results in semantic problems at the time of specifying the methodology. Another reason is that they provide extensive predefined sets of types for describ- ing project attributes, while these project attributes are domain specific and, sometimes, even project specific. This paper introduces two com- plementary modeling principles to overcome these limitations, i.e. the metamodeling three layer hierarchy, and power-type patterns modeling principles. Mechanisms to extend and refine traceability models are in- herent to them. The paper shows that, when methodologies are developed from metamodels based on these two principles, the result is a method- ology well fitted to project features. Links semantics is also improved. Keywords: Traceability methodology, traceability metamodel, clabject, power-type pattern, metamodeling hierarchy, mechanisms for extension of traceability metamodels, metamodel extensibility. 1 Introduction Traceability is considered fundamental to perform processes and tasks such as V&V, change management, and impact analysis. -
IT- Software Engineer Career Ladder Matrix
IT- Software Engineer Career Ladder Matrix Software Engineer Family Job Title Software Engineer, Assoc Software Engineer Sr, Software Engineer Principal Software Engineer Mgr, Software Engineering Job Code MC0080 MC0079 MC0078 MC0074 MC0068 Pay Grade 74 75 76 76 76 Position Summary This role is responsible for all the This role is responsible for all This role is responsible for all This role is responsible for all This role is responsible for functions in all phases of applications phases of the applications phases of the applications phases of the applications providing technical leadership development. This role assists with development. This role is development. development. and mentoring a team of 10+ analysis of user needs, software and responsible for the analysis of engineers. database design, programming and life- user needs, software and cycle development of all business and database design, clinical applications. programming and life cycle development of all business and clinical applications. Essential Functions /Scope *Participate in code reviews, support *Work independently within *Provide mentoring and *Drive technology plan for the IT *Manage and lead assigned business processes, and assist in guidelines, provide technical knowledge transfer to Software organization, and ensure that plans staff. Hire, train, rate problem analysis and consultation consulting on complex projects Engineers including input to code for their assigned applications performance, and take considering equipment capacity, reviews, training and developing -
Integration Testing of Object-Oriented Software
POLITECNICO DI MILANO DOTTORATO DI RICERCA IN INGEGNERIA INFORMATICA E AUTOMATICA Integration Testing of Object-Oriented Software Ph.D. Thesis of: Alessandro Orso Advisor: Prof. Mauro Pezze` Tutor: Prof. Carlo Ghezzi Supervisor of the Ph.D. Program: Prof. Carlo Ghezzi XI ciclo To my family Acknowledgments Finding the right words and the right way for expressing acknowledgments is a diffi- cult task. I hope the following will not sound as a set of ritual formulas, since I mean every single word. First of all I wish to thank professor Mauro Pezze` , for his guidance, his support, and his patience during my work. I know that “taking care” of me has been a hard work, but he only has himself to blame for my starting a Ph.D. program. A very special thank to Professor Carlo Ghezzi for his teachings, for his willingness to help me, and for allowing me to restlessly “steal” books and journals from his office. Now, I can bring them back (at least the one I remember...) Then, I wish to thank my family. I owe them a lot (and even if I don't show this very often; I know this very well). All my love goes to them. Special thanks are due to all my long time and not-so-long time friends. They are (stricty in alphabetical order): Alessandro “Pari” Parimbelli, Ambrogio “Bobo” Usuelli, Andrea “Maken” Machini, Antonio “the Awesome” Carzaniga, Dario “Pitone” Galbiati, Federico “Fede” Clonfero, Flavio “Spadone” Spada, Gianpaolo “the Red One” Cugola, Giovanni “Negroni” Denaro, Giovanni “Muscle Man” Vigna, Lorenzo “the Diver” Riva, Matteo “Prada” Pradella, Mattia “il Monga” Monga, Niels “l’e´ semper chi” Kierkegaard, Pierluigi “San Peter” Sanpietro, Sergio “Que viva Mex- ico” Silva.