No improvement without feedback: Experiences from goal-oriented measurement at Schlumberger

Latum, Frank van; Oivo, Markku; Hoisl, Barbara; Ruhe, Günther

doi:10.1007/bfb0017742

Cited by 11 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Not only should individual learning take place but organizational learning as well. In such a situation the knowledge gained is shared among colleagues and contributes to synergy in the organization [23]. A learning process, therefore, demands 'group learning'.…”

Section: Group Learningmentioning

confidence: 99%

On Software Engineering and Learning Theory Facilitating Learning in Software Quality Improvement Programs

Solingen¹,

Berghout²

2001

Handbook of Software Engineering and Knowledge Engineering

View full text Add to dashboard Cite

'Knowledge' is one of the main results of software engineering, software projects and software process improvement. During software engineering projects, developers learn to apply certain technologies and how to solve particular development problems. During the process of software improvement developers and managers learn how effective and efficient their development processes are, and how to improve these processes. As 'learning' is so important in software practice, it is logical to examine it more closely. What is learning? How does learning take place? Is it possible to improve the conditions of learning? This chapter presents an overview of learning theories and the application of these theories in the softwareengineering domain. It is not our intention to be complete; our objective is to show how established learning theories can help to facilitate learning in software development practice.

show abstract

Section: Group Learningmentioning

confidence: 99%

On Software Engineering and Learning Theory Facilitating Learning in Software Quality Improvement Programs

Solingen¹,

Berghout²

2001

Handbook of Software Engineering and Knowledge Engineering

View full text Add to dashboard Cite

show abstract

Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement

Ruhe

1997

Principles of Data Mining and Knowledge Discovery

Self Cite

View full text Add to dashboard Cite

Knowledge discovery from software engineering measurement data is an essential prerequisite for software quality improvement. Software measurement is increasingly recognized as a device to better understand, monitor, predict, and improve software development and maintenance projects. The paper describes the interaction between goal-oriented measurement and rough set based analysis in the context of experimental software engineering. The gained experiences are based on the application of rough set analysis in practical problems of software engineering.

show abstract

SPI – A Guarantee for Success? – A Reality Story from Industry -

Rodenbach¹,

Latum²,

Solingen³

2000

Product Focused Software Process Improvement

View full text Add to dashboard Cite

No improvement without feedback: Experiences from goal-oriented measurement at Schlumberger

Cited by 11 publications

References 2 publications

On Software Engineering and Learning Theory Facilitating Learning in Software Quality Improvement Programs

On Software Engineering and Learning Theory Facilitating Learning in Software Quality Improvement Programs

Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement

SPI – A Guarantee for Success? – A Reality Story from Industry -

Contact Info

Product

Resources

About