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Angel Turner
Angel Turner

Maintenance Support For Object Oriented Programs


Python is an interpreted, object-oriented, high-level programminglanguage with dynamic semantics. Its high-level built in datastructures, combined with dynamic typing and dynamic binding, make itvery attractive for Rapid Application Development, as well as for useas a scripting or glue language to connect existing componentstogether. Python's simple, easy to learn syntax emphasizesreadability and therefore reduces the cost of program maintenance.Python supports modules and packages, which encourages programmodularity and code reuse. The Python interpreter and the extensivestandard library are available in source or binary form without chargefor all major platforms, and can be freely distributed.Often, programmers fall in love with Python because of theincreased productivity it provides. Since there is no compilationstep, the edit-test-debug cycle is incredibly fast. Debugging Pythonprograms is easy: a bug or bad input will never cause a segmentationfault. Instead, when the interpreter discovers an error, it raises anexception. When the program doesn't catch the exception, theinterpreter prints a stack trace. A source level debugger allowsinspection of local and global variables, evaluation of arbitraryexpressions, setting breakpoints, stepping through the code a line ata time, and so on. The debugger is written in Python itself,testifying to Python's introspective power. On the other hand, oftenthe quickest way to debug a program is to add a few print statementsto the source: the fast edit-test-debug cycle makes this simpleapproach very effective.See also some comparisons betweenPython and other languages. Tweets by @ThePSF !function(d,s,id)var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id))js=d.createElement(s);js.id=id;js.src=p+"://platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);(document,"script","twitter-wjs"); The PSFThe Python Software Foundation is the organization behind Python. Become a member of the PSF and help advance the software and our mission.




Maintenance Support For Object Oriented Programs


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Object-Oriented (OO) systems are difficult to understand due to the complex nature of the relationships that object-orientation supports. Inheritance, polymorphism, encapsulation, information hiding, aggregation, and association combine to make maintenance of OO systems difficult. Due to the presence of these characteristics in OO systems, maintenance activities on OO systems often have unexpected or unseen effects on the system. These effects can ripple through system components, complicating maintenance and testing of the system. The ability to trace the effects of maintenance provides the maintainer with knowledge that assists in debugging and testing modified and affected components. In this research, we show that the architecture of an OO system provides an effective framework for determining the impact of system changes. We developed the Comparative Software Maintenance (CSM) methodology to support the maintenance of OO systems. Through this methodology, we model relationships and structures, analyze the models to determine components that change as a result of maintenance, and perform impact analysis to determine components that are candidates for re-testing as a result of maintenance activity. The methodology includes a new data model, called Extended Low-Level Software Architecture (ELLSA), that facilitates impact analysis. CSM locates potential side effects, ripple effects, and other effects of maintenance on class structures, methods, and objects. The comprehensive architecture model enables CSM to perform either predictive, pre-modification impact analysis or post-modification impact analysis. The improved impact analysis process found in the methodology determines impact of changes to the component level. We apply the results of impact analysis to determine component level testing requirements. CSM enhances program understanding through the use of ELLSA. It also provides assistance for capturing complex dependencies found in object-oriented code. The methodology is implemented in JFlex. The automation provided by JFlex makes the application of CSM feasible.


Object-oriented programming (OOP) is a computer programming model that organizes software design around data, or objects, rather than functions and logic. An object can be defined as a data field that has unique attributes and behavior.


OOP focuses on the objects that developers want to manipulate rather than the logic required to manipulate them. This approach to programming is well-suited for programs that are large, complex and actively updated or maintained. This includes programs for manufacturing and design, as well as mobile applications; for example, OOP can be used for manufacturing system simulation software.


The organization of an object-oriented program also makes the method beneficial to collaborative development, where projects are divided into groups. Additional benefits of OOP include code reusability, scalability and efficiency.


While Simula is credited as being the first object-oriented programming language, many other programming languages are used with OOP today. But some programming languages pair with OOP better than others. For example, programming languages considered pure OOP languages treat everything as objects. Other programming languages are designed primarily for OOP, but with some procedural processes included.


The object-oriented programming model has been criticized by developers for multiple reasons. The largest concern is that OOP overemphasizes the data component of software development and does not focus enough on computation or algorithms. Additionally, OOP code may be more complicated to write and take longer to compile.


To support the right choices and to add to the training programs, PLCopen started an OOP Guidelines initiative, in order to create a more homogeneous method. This activity helps to understand to make the right choice upfront, and to create consistent programs with long-term support.


The Army will host numerous associated meetings at the Maintenance Symposium. Soldiers and civilians from various levels of HQDA and the Operating forces will provide thought-provoking, senior level, discussions about how the Army is increasing material readiness through technology and innovation. The Army Field Maintenance Forum (AFMF) is a collaborative environment hosted by the Army Deputy Chief of Staff, Logistics (G-4) Director of Maintenance and includes collaboration among the Headquarters, Department of the Army Staff, Army Service Component Command (ASCC), Army Commands (ACOM), Direct Reporting Units (DRU), industry and academia regarding Army maintenance policy, programs, and initiatives in support of large-scale combat operations (LSCO) and multi domain operations (MDO). Facilitators/Presenters will present current Corrosion solutions, the Army Oil Analysis Program (AOAP) improvements, Predictive Logistics initiatives, Organic Industrial Base Modernization, and Aviation Maintenance enhancements.


Java is a class-based object-oriented programming (OOP) language built around the concept of objects. OOP concepts are intended to improve code readability and reusability by defining how to structure your Java program efficiently. There are seven core principles of object-oriented programming, as follows.


While these concepts are crucial for creating well-structured Java programs in the development phase, implementing crash reporting can also help you catch the errors your end-users encounter in the operation and maintenance phase of the software development life cycle.


Java supports object-oriented programming, along with other popular languages like Python and C++. In Java, OOP concepts allow us to create specific interactions between Java objects. They make it possible to reuse code without creating security risks or harming performance and code readability.


Object-oriented databases are a type of database management system. Different database management systems provide additional functionalities. Object-oriented databases add the database functionality to object programming languages, creating more manageable code bases.


An object database is managed by an object-oriented database management system (OODBMS). The database combines object-oriented programming concepts with relational database principles.


These characteristics make object databases suitable for projects with complex data which require an object-oriented approach to programming. An object-oriented management system provides supported functionality catered to object-oriented programming where complex objects are central. This approach unifies attributes and behaviors of data into one entity.


Versant provides primary transparent object persistence from C++, Java, and .NET. However, there is also support for Smalltalk and Python. Versant supports different APIs depending on the language used. Standard SQL queries are also available, making Versant a NoSQL database.


Object databases provide a modern approach to database modeling, mirroring the used in object-oriented programming. Learn more about database technologies in our blog article What is database as a service (DBaaS).


Using PL/SQL to access metadata about database objects and handle database error conditions, you can write utility programs for database administration that are reliable and produce readable output about the success of each operation.


PL/SQL also supports dynamic SQL, a programming technique that makes your applications more flexible and versatile. Your programs can build and process SQL data definition, data control, and session control statements at run time, without knowing details such as table names and WHERE clauses in advance.


Object types are an ideal object-oriented modeling tool, which you can use to reduce the cost and time required to build complex applications. Besides allowing you to create software components that are modular, maintainable, and reusable, object types allow different teams of programmers to develop software components concurrently.


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