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Inclusive practices and software project productivity HPC Best Practices Webinar, October, 2024LLNLPRES825916Mark C. Miller, Lawrence Livermore National Lab (LLNL)Outline Inclusion and bias Inclusion and productivity Practices for cultivating inclusion Some resources2 LLNLPRES825916Why inclusion?Talent is equally distributed across all sociocultural groups access and opportunity are not.3 LLNLPRES825916What is inclusion?In the context of open source
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How to fill out software project productivity

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Identify the goals and objectives of the software project.
02
Establish clear metrics for measuring productivity.
03
Define roles and responsibilities within the project team.
04
Implement project management tools to track progress.
05
Conduct regular team meetings to assess productivity and address challenges.
06
Collect and analyze data on task completion and timelines.
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Adjust processes and practices based on feedback and performance data.

Who needs software project productivity?

01
Project managers looking to enhance team efficiency.
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Software developers aiming to improve their workflow.
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Stakeholders wanting to assess project performance.
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Companies seeking to optimize resource allocation.
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Clients interested in understanding project timelines and deliverables.
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Software project productivity measures the efficiency and effectiveness of a software development project, often expressed in terms of output over input, such as lines of code produced per hour or function points delivered per staff-month.
Typically, project managers, team leads, and quality assurance personnel in organizations that conduct software development are required to file documentation related to software project productivity.
To fill out software project productivity, collect relevant data on project outputs and inputs, quantify them accurately, and report them using predefined metrics or templates, ensuring to cover all necessary fields.
The purpose of software project productivity is to assess the performance of software development efforts, identify areas for improvement, facilitate better resource allocation, and improve overall project planning and management.
Information that must be reported includes total output measures (like lines of code or features delivered), input resources used (like hours worked or team size), project timelines, and any specific metrics or criteria defined by the organization.
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