Sodelico Software development lifecycle cost optimizer
Sodelico
Solution Overview
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Customer problem
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Inefficient Delivery Processes: Many organizations struggle with outdated or inefficient SDLC practices that lead to delays, increased costs, and compromise software quality. This inefficiency can affect the overall productivity of the development team and delay time to market, impacting the company's ability to compete and generate revenue.
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Low Engineering Maturity: A low level of engineering maturity typically results in frequent bugs, rework, and missed deadlines, indicative of deeper systemic issues within the SDLC which disrupts project timelines and slows down time to market.
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Budget Constraints on Process Improvements: Companies often recognize the need for process optimization but are constrained by budget limitations. Without a clear understanding of the potential return on investment, it's challenging for decision-makers to justify and allocate funds towards enhancing engineering practices.
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Inability to Prioritize and Implement Effective Solutions: Even when organizations recognize problems in their SDLC, they may lack the expertise or tools to identify and prioritize the most impactful improvements. This can result in random or ineffective improvements that do not address the core issues or deliver significant returns, wasting resources and time.
EPAM Solution
Sodelico is a tool designed to evaluate and optimize the Software Development Life Cycle. It works effectively both as a standalone application and when integrated with Delivery Central modules.
Key functionalities of standalone solution include:
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Efficiency Identification: Sodelico uses data-driven insights, supported by statistics, to identify inefficiencies and bottlenecks in current delivery pipelines. It compares these with optimized pipelines to provide clear, actionable recommendations for process improvements. This approach helps reduce delays, cut costs, and enhance software quality, thereby boosting productivity and accelerating time-to-market.
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ROI Modeling: Sodelico generates a comprehensive ROI model that illustrates the financial impact of current issues in the SDLC versus the benefits of implementing proposed improvements. It evaluates the costs associated with current risks against the investments needed to mitigate these risks, essentially comparing the cost of action versus the cost of inaction.
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Gantt Chart: Sodelico provides a structured execution plan for the transformation. It includes a schedule detailing the time required to implement recommendations and the duration for risks to decay.
When integrated with DC modules (future scope), Sodelico enables tracking of changes in delivery pipelines, monitoring the progress of implementing improvements, and observing how these changes impact project metrics.
Benefits
Reduce Development Costs
Cut unnecessary expenses through process optimization
Streamline Delivery Pipelines
Optimize code journey to enhance productivity and speed up time to market
Reduce Risk Exposure
Mitigate potential risks by evaluating their probability and impact
Visualize transformation roadmap
Build a Gantt chart to visualize implementation timeline for recommended actions
Flexible Budget Planning
Calculate transformation costs including a baseline, efforts, and a risk buffers
Features
- Pipelines schema creation and analysis: Calculate the cost of current delivery pipelines and find opportunities for cost optimization.
- Recommendations calculation: Sodelico provides capabilities to calculate costs and efforts to enable SDLC transformation and implement improvements.
- Risks analysis: Evaluate the probability and impact of risks associated with the project.
- Monte-Carlo simulation: Simulates scenarios for risk probability and impact.
- ROI scenarios: Sodelico provides insights into investments, benefits, and NPV based on different scenarios.
- Implementation roadmap: Sodelico builds a Gantt chart for the implementation of the recommendations.
- Resource planning: Analyze how team composition impacts the costs and duration of the SDLC transformation.
Use Cases
Software Development: Pipeline Optimization
Problem Statement
A multinational software company needs to assess the engineering maturity of its teams to identify areas for SDLC improvement.
Solution Proposed
The applied solution helped to analyze the delivery pipeline and identify gaps and bottlenecks. Generated Pipeline AS IS and TO BE diagrams, provided a comprehensive list of optimization recommendations in terms of costs and efforts.
Achieved Results
The company gains a clear understanding of where improvements are needed and can make informed decisions on investments in SDLC enhancements.
Software Development: Risk Assessment with Monte Carlo Simulation
Problem Statement
A multinational software company faced challenges in accurately calculating and managing risks associated with SDLC improvements.
Solution Proposed
Implemented a Monte Carlo simulation to perform detailed risk assessments based on the ROI calculation model. This method evaluated the probability and financial impact of the known risks, allowing the company to understand the variability and potential impact of SDLC risks.
Achieved Results
Enhanced risk management by quantifying potential impacts under various scenarios, which allowed the company to allocate resources more strategically to mitigate risks.
Questions & Answers
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