Adaptive Product Development Lifecycle

Since the mid-1980s, the evolutionary life cycle has emerged, based on the pioneering work of Tom Gilb and Barry Boehm. While the evolutionary model has moved into the mainstream, many practitioners have not changed their deterministic mind-set. Long-term predictability has been abandoned for short-term predictability, but it is predictability nonetheless. For example, Tom Gilb's recent work entails detailed component planning and great precision in specifying requirements.





The adaptive model is built on a different world view. While cyclical like the evolutionary model, the phase names reflect the unpredictable realm of increasingly complex systems. Adaptive development goes further than its evolutionary heritage in two key ways. First, it explicitly replaces determinism with emergence. Second, it goes beyond a change in life cycle to a deeper change in management style. The difference can be subtle. For example, as the environment changes, those using a deterministic model would look for a new set of cause-and-effect rules, while those using the adaptive model know there are no such rules to find.

• Reduces time-to-market by providing a complete solution to manage and retrieve all product-related information-from the first idea through design, production and product obsolescence. Our APLM also speeds up business processes by providing collaborative engineering and change as well as project management across multiple business partners.
• Reduces cost to market by evaluating program and project progress and supporting investment and divestment decisions for products.
• Reduces risk exposure and cost of engineering changes by providing an integrated set of capabilities to monitor, implement and control engineering changes-from customer-requested changes to projects, products and engineering changes against released production orders.
• Brings products to market in a more personalized way, helping companies offer products that are tailored to individual needs. Improved knowledge of available parts and components reduces costly design and engineering work and allows vendors to enter niche markets.
• Improves decision making at all levels of the organization through powerful and flexible analytics capabilities that cover areas such as portfolio management, product safety, product quality and maintenance management.

In our adaptive life cycle, the 3 Ps: People, Product and Process are well balanced and managed. Bleuphish follows adaptive lifecycle framework methodology for solution/Product development and delivery. Requirements are gathered continuously and they undergo changes dynamically. These are analyzed and validated for development and delivery. The baseline for concept is ensured by prototype model. On client’s acceptance of the prototype concurrent component Engineering is commenced in phases with each phase assigned a specific defined deliverables. Periodic review of the functionalities through the development cycle ensures the software product to match client's expectations. Configuration management system and version control tools expedites the process of managing requirement changes and multiple product releases in a specific timeframe. A defined team structure, good project management, technical liaison (Onshore) supports timely product delivery.

• Delivering innovative new products
• Incorporating speed and mobility into projects
• Balancing the need for early architectural planning (anticipation) with solid iterative development practices (adaptation)
• Creating a hub organizational structure that balances feature-team autonomy with project-level structure
• Designing project and product team structures that focus on collaboration
• Developing release, milestone, and iteration plans that incorporate thousands of features into an integrated set of components, each of which may progress with different detail iteration lengths
• Employing "milestones" to review progress and make adjustments
• Getting project managers to act as facilitators and coordinators, rather than the "ultimate authority"
• Incorporating collaborative decision making skills within our team
• Driving the detail workload management down to individual teams while maintaining overall workload coordination

We have advanced techniques for iteration planning, collaboration, and project management targeted at large projects that span multiple feature teams and potentially multiple engineering disciplines (hardware, software, scientific domains).

• Putting more quality into a product
• Loosening up formal methodologies
• Fighting corporate entropy
• Making it acceptable to be uninterruptible