Software & Systems Engineering
Effective, Innovative Solutions Delivered on Time!
AceInfo performs full lifecycle support - from requirements analysis and design to testing, installation, training, and operations & maintenance.
Software Engineering
AceInfo has deep experience leveraging CMMI Level 3, ISO, and ITIL best practices to provide full lifecycle SDLC support. We develop and implement new systems and provide O&M for a wide range of Government agencies including EPA, USDA, DOC, DOI and DHS. AceInfo has a robust development infrastructure in our Reston, VA office that consists of the latest Windows and Linux servers and VMware capabilities to quickly scale and standup new development and test environments. The AceInfo infrastructure is secure, independently certified and accredited as FISMA-compliant.
We offer experience in a range of:
We are expert in the use of leading tools, languages, and databases and keep current in new technologies as well as iterative development methodologies such as Agile Scrum.
Systems Engineering
We apply advanced methodologies to solve an array of complex management and technical challenges for our Federal customers all while ensuring adherence to their strict cost, performance, and schedule mandates. AceInfo takes a full life cycle approach to systems engineering that begins with development of hardware and software requirements for all applications and the supporting infrastructure. We help customers such as the U.S. Coast Guard, EPA and the USDA to select new and/or upgrade products - networks, servers, routers, software and hardware – that meet stakeholder needs. We test and ensure performance, security, functionality and compatibility with agency and Federal enterprise architecture, SOA, and service management frameworks. AceInfo helps clients to implement more cost-effective and green solutions such as virtualization and cloud computing. Our expertise upgrading and integrating legacy systems with new technology enables us to provide services cost-effectively and free of vendor bias.