Using Developer Information as a Prediction Factor
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The document discusses using developer information to improve fault prediction in software systems. It analyzes data from multiple releases of four different software systems totaling over 20 years of data. Adding variables related to the number of developers who modified a file and whether developers were new improves predictions slightly, but factors like file size and whether a file was new or changed are much more important predictors of faults. The best models using these factors identified the top 20% of files that contained over 80% of the faults on average.
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عمار عبد الكريم صاحب مبارك
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I invented and supervised development of this system. It was created in 2009-2010, with help of 1 designer and 1 developer.
Importance of an erp system for food and beverage industry
Within the Food & Beverage industry, there are a range of recent trends that add complexity to the way companies function.
SECAP Security Management System
Modern security system improves communication process between different groups of users in object/building. It allows efficient communication management and provides cost optimization. The system ensures categorization and automatic distribution notifications about inicdents to right personnel. Issues can be given priority and category. It simplifies management and communication, eg. incidents, theft. Clear statistics and reports show a picture of the security service, technical support, and client satisfaction.
http://www.it-factory.pl/
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Management Information Systems in Maruti Suzuki
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Artificial Intelligence
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Artificial Intelligence
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
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Importance of an erp system for food and beverage industry
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A keynote delivered for the 3rd Workshop on
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http://vst2020.scch.at
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With the rise of agile development, software teams all over the world embrace faster release cycles as *the* way to incorporate customer feedback into product development processes. Yet, faster release cycles imply rethinking the traditional notion of software quality: agile teams must balance reliability (minimize known defects) against agility (maximize ease of change). This talk will explore the state-of-the-art in software test automation and the opportunities this may present for maintaining this balance. We will address questions like: Will our test suite detect critical defects early? If not, how can we improve our test suite? Where should we fix a defect?
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Project #5 – Source Code Repository Architecture Document
due Monday, Dec 9th
Version 2.2
Purpose:
This project develops an Operational Concept Document (OCD) for a Source Code Repository client and server. The
purpose of the Repository is to enable insertion and extraction of source code files into a project’s baseline and to
display information about their properties and relationships. Authenticated check-in and versioning are required.
The Repository client displays information about Repository files in a Graphical User Interface (GUI) with several
panes used to display some metadata properties and text of the current file and panes to show the child and parent
dependencies. Clicking on a child or parent makes that file the current file. File caching on Repository and its clients
is required to avoid unnecessary file transfers.
Context:
This Repository is one member of a server federation, illustrated in Figure 1., designed to support software
development. Other members of the federation are a Test server, providing a test harness supporting continuous
integration, and a Project server that stores and publishes project management information and supports
collaborative communication through virtual meetings1 and shared document resources.
All of the federated servers are designed as distributed virtual servers. This means that: they can be run in virtual
environments, server contents can be distributed across several server instances, and that they provide a cloning
facility that will allow any authenticated user to create an instance on a local desktop with a specified subset of the
source server contents, and that new and modified contents can be checked into the source server. This allows local
use of the development environment for initial creation and testing before inserting the new products into the
project’s baseline.
In Figure 1, below, we show the Federated Server context in which the Repository server must operate. We see that
all the servers collaborate through message-passing communication to provide a powerful software development
environment. The Repository’s role is to manage a project’s current baseline, e.g., the collection of its
documentation and source code.
The Project server manages all of the data required to manage a large project, e.g., definition of work packages and
their schedules and assigned responsible individuals, and means to support collaboration between project teams,
some of which may be in remote locations. As an example, Figure 2 shows a hypothetical package structure for the
Project server. This illustrates the level of detail needed to capture the concept for a large federated system. The
Repository server will need a similar, though not identical, package structure.
The Test server supports continuous test and integration. Whenever a new package is inserted or an existing
pa.
Version control
Concept and need of version control and the uses in production implementation.
Presented on DotNetters Tech Summit - 2015 RUET
Presenter: Ronald Roni Saha
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Learning from Human Repairs Through the Exploitation of Software Repositories
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Software systems drive our phones, cars, banks, cities, etc. This places a heavy load on software industry
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Nowadays technologies evolve rapidly, software suffer from some majors problems. Firstly software
maintainers have to deal with the past (past languages, existing systems, old technologies). It is often
misunderstood and treated as a punishment. Secondly developers have to ensure a good software quality.
To deal with such problems, approaches have been proposed to support software maintenance and reduce
the efforts of developers. One approach commonly adopted is the usage of rules to ensure source code
quality and ease maintenance activities.
We propose in this paper an approach to ease corrective maintenance task and help to improve software
quality by exploiting human knowledge available in software repositories. This approach support
remediation of bad situations; by reducing for example time spent to read, understand and how the code
can be changed.
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Using Developer Information as a Prediction Factor
- 1. Using Developer Information as a Factor for Fault Prediction May 20, 2007 Elaine Weyuker Tom Ostrand Bob Bell AT&T Labs – Research
- 2. GOAL : To determine which files of a software system with multiple releases are particularly likely to contain large numbers of faults.
- 3. Because this should allow us to build highly dependable software systems more economically by allowing us to better allocate testing effort and resources, including personnel. Prioritize testing. Why is this important?
- 4. Infrastructure Projects use an integrated change management/version control system. Any change to the software requires that a modification request (MR) be opened. MRs include information such as the reason that the change is to be made, a description of the change, a severity rating, the actual change, development stage during which the MR was initiated.
- 6. Systems Studied 84% 9 years Maintenance Support 75% 2.25 years Voice Resp 83% 2 years Provisioning 83% 4 years Inventory 20% Files Period Covered System Type
- 9. Cumulative Number of Developers After 20 Releases (526 Files, Mean 3.54)
- 10. Mean Cumulative Number of Developers by File Age (Age 20 = 3.54)
- 11. Proportion of Changed Files with Multiple Developers by File Age
- 12. Proportion of Changed Files with at Least 1 New Developer by File Age
- 13. Percentage Faults in Identified 20% Files 84.9 83.9 Mean Rel 6-35 92 92 31-35 91 90 26-30 88 89 21-25 86 84 16-20 73 71 11-15 79 78 6-10 With Developers W/O Developers Release Number