Source Code Control System Research Articles

Project repositories for machine learning with TensorFlow

Abstract In machine learning, models capture intelligence from data using algorithms implemented on frameworks like TensorFlow. Models learn during the training phase; an iterative process in which parameters are tuned to improve the prediction accuracy. Software repositories are used to save the artifacts of model development so that they can be modified in subsequent releases and shared between development teams. Issues in saving the state of machine learning projects is different from standard software practices. Machine learning models are equivalent to binary executable programs and ideally one should be able to recreate the model from the information preserved in project repositories. Recreation of the model becomes necessary when there is a change in the development team as part of the product transition. Retraining of models also becomes necessary when the inaccuracy in the predictions made on new data increases beyond the acceptable limit. When traditional source code management systems are used for maintaining repositories of machine learning projects, we face challenges in keeping complete information required for model development starting from saved states. This paper presents the results of the studies conducted to identify the challenges in maintaining TensorFlow machine learning projects in repositories. Some of the existing tools are compared and recommendations are made to improve the ease of recreation of machine learning models by saving complete information in project repositories maintained in normal source code control systems.

Files synchronization from a large number of insertions and deletions

Synchronization between different versions of files is becoming a major issue that most of the applications are facing. To make the applications more efficient a economical algorithm is developed from the previously used algorithm of “File Loading Algorithm”. I am extending this algorithm in three ways: First, dealing with non-binary files, Second backup is generated for uploaded files and lastly each files are synchronized with insertions and deletions. User can reconstruct file from the former file with minimizing the error and also provides interactive communication by eliminating the frequency without any disturbance. The drawback of previous system is overcome by using synchronization, in which multiple copies of each file/record is created and stored in backup database and is efficiently restored in case of any unwanted deletion or loss of data. That is, to introduce a protocol that user B may use to reconstruct file X from file Y with suitably low probability of error. Synchronization algorithms find numerous areas of use, including data storage, file sharing, source code control systems, and cloud applications. For example, cloud storage services such as Drop box synchronize between local copies and cloud backups each time users make changes to local versions. Similarly, synchronization tools are necessary in mobile devices. Specialized synchronization algorithms are used for video and sound editing. Synchronization tools are also capable of performing data duplication.

Storage Strife

Where I work we are very serious about storing all of our data, not just our source code, in our source-code control system. When we started the company we made the decision to store as much as possible in one place. The problem is that over time we have moved from a pure programming environment to one where there are other people - the kind of people who send e-mails using Outlook and who keep their data in binary and proprietary formats.

DYNAMIC MODELS FOR TESTING BASED ON TIME SERIES ANALYSIS

In this paper, we investigate a dynamic software quality model that incorporates software process and software product measures as covariates. Furthermore, the model is not based on execution time between failures. Instead, the method relies on data commonly available from simple problem tracking and source code control systems. Fault counts, testing effort, and code churn measures are collected from each build during the system test phase of a large telecommunications software system. We use this data to predict the number of faults to expect from one build to the next. The technique we use is called time series analysis and forecasting. The methodology assumes that future predictions are based on the history of past failures and related covariates. We show that the quality model incorporating testing effort as a covariate is better than the quality model derived from fault counts alone.

Protecting CAD Files During Development: The Sunos SCCS System

Protecting CAD files during development: the SunOS SCCS system This is a practical introduction to the Source Code Control System (SCCS) for the development and protection of text-files. Familiar in software projects, it can be a valuable aid for CAD using textual hardware description. A Verilog example illustrates the method, and then the system's most useful features are explained.

Using SCCS to manage APL2 development projects

As workstations become more prevalent and networks expand, APL developers will need source control tools when working together on common programming projects. SCCS (Source Code Control System) is a tool found on UNIX systems used in development projects to control changes made to source code and documentation files. Putting a source file under the control of SCCS creates a single file containing the complete source and history of all modifications with comments. There is a set of SCCS commands to access this file for signing out modules for editing, merging in new changes, providing reports, and even recreating any prior version. Though SCCS is typically used for projects being written in languages like C or Fortran, it can be used in the development of APL2 applications. In trying to use SCCS, there are some problems unique to APL. Specifically, APL's potential to use all 256 ASCII values does cause problems for SCCS. This paper will provide solutions to these problems, and describe how to use SCCS to manage APL2 application development efforts in a networked environment.

A distributed file service based on optimistic concurrency control

The design of a layered file service for the Amoeba Distributed System is discussed, on top of which various applications can easily be intplemented. The bottom layer is formed by the Amoeba Block Services, responsible for implementing stable storage and repficated, highly available disk blocks. The next layer is formed by the Amoeba File Service which provides version management and concurrency control for tree-structured files. On top of this layer, the appficafions, ranging from databases to source code control systems, determine the structure of the file trees and provide an interface to the users.

A source code control system based on semantic nets

AbstractA major problem facing the developers of large pieces of software is source code version control. This paper describes how semantic nets can model this process and how a semantic net processor can be used to construct a flexible and portable source code control system.

The SAGA project

The SAGA (Software Automation, Generation, and Administration) project is investigating formal and practical aspects of computer-aided support for the software lifecycle [Campbell and Richards, 81]. The goal of the project is to design a practical software development environment that supports and aids management of all major phases of the lifecycle. This paper presents requirements for a software development environment and shows how they are guiding the specification and design of the SAGA project. We review the goals of the project, and give an overview of the organization, design, and status of the major components of the SAGA software development system for which prototypes have been built. These components include a table-driven LR parser-based language-oriented editor, a discussion forum, a source code control system, and an incremental compilation facility.

The SAGA project

The SAGA (Software Automation, Generation, and Administration) project is investigating formal and practical aspects of computer-aided support for the software lifecycle [Campbell and Richards, 81]. The goal of the project is to design a practical software development environment that supports and aids management of all major phases of the lifecycle. This paper presents requirements for a software development environment and shows how they are guiding the specification and design of the SAGA project. We review the goals of the project, and give an overview of the organization, design, and status of the major components of the SAGA software development system for which prototypes have been built. These components include a table-driven LR parser-based language-oriented editor, a discussion forum, a source code control system, and an incremental compilation facility.

Designer's Workbench: Providing a Production Environment

In the development of Designer's Workbench, special consideration was given to the design, implementation, and maintenance of the production environment. Since DWB filled an immediate need in the computer-aided design world, production use of the system was started early and became an important factor as further development was planned. The reliability of the production system needed to be insured, while at the same time allowing the frequent changes and additions required in the normal course of development and general maintenance. To fulfill these requirements, we have implemented a “version control” system, allowing several independent versions of the entire system to be available simultaneously. In the general maintenance of DWB, we have used the Source Code Control System and make utility provided by the PWB/UNIX∗ interactive operating system. We also have made extensive use of command procedures written in the UNIX “shell” language to perform the librarian and maintenance functions that are necessary to support the system.

The evolution of a Source Code Control System

The Source Code Control System (SCCS) is a system for controlling changes to files of text (typically, the source code and documentation of software systems). It is an integral part of a software development and maintenance system known as the Programmer's Workbench (PWB). SCCS has itself undergone considerable change. There have been nine major versions of SCCS. This paper describes the facilities provided by SCCS, and the design changes that were made to SCCS in order to provide a useful and flexible environment in which to conduct the programming process.

The evolution of a Source Code Control System

The Source Code Control System (SCCS) is a system for controlling changes to files of text (typically, the source code and documentation of software systems). It is an integral part of a software development and maintenance system known as the Programmer's Workbench (PWB). SCCS has itself undergone considerable change. There have been nine major versions of SCCS. This paper describes the facilities provided by SCCS, and the design changes that were made to SCCS in order to provide a useful and flexible environment in which to conduct the programming process.

The source code control system

The Source Code Control System (SCCS) is a software tool designed to help programming projects control changes to source code. It provides facilities for storing, updating, and retrieving all versions of modules, for controlling updating privileges for identifying load modules by version number, and for recording who made each software change, when and where it was made, and why. This paper discusses the SCCS approach to source code control, shows how it is used and explains how it is implemented.