Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Angela Tuffley is active.

Publication


Featured researches published by Angela Tuffley.


Software Process: Improvement and Practice | 2004

SPICE for small organisations

Angela Tuffley; Bill Grove; Gary McNair

There is a perception in small to medium software developers that international standards and process improvement models such as ISO/IEC 15504 are developed and are relevant only for large organisations. This paper discusses the results of a case study focusing on the conduct of a process improvement project in a small organisation, Mirrabooka Systems Pty Ltd. The project involved providing financial assistance, assessment services and process improvement mentoring to improve the capability of the organisations software development processes. The activities centred around the provision of ISO/IEC 15504 conformant assessments, or more commonly known as SPICE Assessments, the results of which provided a basis for developing and implementing a process improvement programme for the organisation, which was implemented over a period of 18 months, and finally determining the improvements realised over that time frame. It discusses both the benefits and concerns Mirrabooka Systems Pty Ltd experienced by participating in the project and also demonstrates that ISO/IEC 15504 is not just suitable for large organisations but is also relevant and beneficial for small organisations. Copyright


service oriented software engineering | 2015

SoS capability schedule prediction

Jo Ann Lane; Elizabeth Clark; Adrian Pitman; Angela Tuffley

The Australian Defence Materiel Organisation recently developed a process for determining the probability that a system development program will meet their stated delivery or completion date as well as predicting the actual schedule and identifying factors that are driving the schedule. This process, the Schedule Compliance Risk Assessment Methodology (SCRAM), provides a framework for identifying and communicating the issues and risks to, and the root causes of, schedule slippage and providing recommendations to mitigate and/or remediate issues and risks. To date, SCRAM has been successfully applied to a number of major development acquisition programs in Australia and the United States. This paper describes the application of the SCRAM process to predict the completion date of an SoS capability, conduct a root cause analysis of any identified schedule slippage, and identify possible remedial actions that can be taken to reduce schedule slippage.


SPICE 2000 | 2000

The Rapid Assessment of Software Process Capability

Terence Patrick Rout; Angela Tuffley; Brent David Cahill; Bruce Hodgen


Software Process: Improvement and Practice | 2007

Harmonizing ISO-IEC 15504 and CMMI

Terence Patrick Rout; Angela Tuffley


Archive | 2001

Australian Experiences with CMMI

Terence Patrick Rout; Angela Tuffley; David Marshall; Adrian Pitman


6th International SPICE Conference on Process Assessment & Improvement (SPICE 2006) | 2006

Studies on the Assessment Process: Initial Data from Tool-based Evidence Collection

Terence Patrick Rout; Angela Tuffley


PMOz 2004 | 2004

Interfacing Project Management and Process Management for Effective Capability

Terence Patrick Rout; Angela Tuffley


SPICE 2002 | 2002

SPICE and CMMI:conformance of the CMMI models to ISO/IEC 15504

Terence Patrick Rout; Angela Tuffley


22nd Australasian Software Engineering Conference: ASWEC 2013 | 2013

SCRAM: A method for assessing the risk of schedule compliance

Adrian Pitman; Angela Tuffley; Betsy Clark


Archive | 2011

SCRAM: A Method for Assessing Schedule Compliance Risk

Elizabeth Clark; Angela Tuffley; Bradford Clark; Adrian Pitman

Collaboration


Dive into the Angela Tuffley's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jo Ann Lane

University of Southern California

View shared research outputs
Researchain Logo
Decentralizing Knowledge