Binfire

AUGUST 20, 2017

It is popular with software engineering teams due to its integration with code repository and versioning apps like GitHub. Citrix acquired Podio in 2012. Dapulse is probably the closest app in terms of functionality to Asana compared to all the Asana alternatives applications listed in this article.

Software Review 100

Software Review 2006 2010 2012 100

Herding Cats

DECEMBER 3, 2017

"Improving Software Development Tracking and Estimation Inside the Cone of Uncertainty," Pongtip Aroonvatanaporn, Thanida Hongsongkiat, and Barry Boehm, Technical Report USC-CSSE-2012-504, Center for Systems and Software Engineering, University of Southern California, 2012. 37-48, 2007.

2007 34

2007 2012 2009 2010 34

Herding Cats

OCTOBER 24, 2018

Proposition 22: The Premortem Technique,” Olivier Serrat, Knowledge Solutions and publication of Asian Development Bank, March 2012/113. Automated Root Cause Isolation of Performance Regressions during Software Development,” Christopher Heger, Jens Happer, and Roozbeh Farahbod, ICPE ’13, April 21? Lehtinen and Mika V.

2014 45

2014 Aerospace 2011 2013 45

Herding Cats

MARCH 4, 2017

Bauman, Industrial & Engineering Chemistry , April 1958. Software Engineering Economics, Barry Boehm, Prentice-Hall, 1981. Software Cost Estimation Model,"Barry Boehm, et al., Thesis, University of Southern California, August 2012. . Accuracy Considerations for Capital Cost Estimation", Carl H. The COCOMO 2.0

2010 28

2010 2007 Estimate Aerospace 28

Scrum.org

FEBRUARY 3, 2020

Why our brain is not built for software engineering. Retrieved from [link] on December 17, 2012; Gigerenzer, G. Retrieved from [link] on December 17, 2012; Heylighen, F. Retrieved from [link] on December 17, 2012 ; Heylighen F. Boston: Harvard Business Press; Gershenson, C. and Heylighen, F. and Selten, R.

2002 203

2002 SCRUM 2007 2003 203

Herding Cats

JUNE 19, 2017

“Shrinking The Cone Of Uncertainty With Continuous Assessment For Software Team Dynamics In Design And Development,” Pongtip Aroonvatanaporn,” Ph.D. Thesis, University of Southern California, August 2012. Barry Boehm's work in “Software Engineering Economics”. The Cone of Uncertainty as a Technical Performance Measure.

Technical Review 35

Technical Review Performance Measurement Underperforming Technical Team Estimate 35

Herding Cats

APRIL 4, 2019

Foundations of Risk Management, 2nd Edition, Terje Aven, John Wiley & Sons, 2012. Software Engineering Risk Management: Finding your Path Through the Jungle, Version 1.0 , Dale Karolak, IEEE Computer Society, 1998. Software Engineering Risk Management , Dale Karolak, IEEE Computer Society Press, 1996.

Risk Management 43

Risk Management Risk 2003 2011 43

Herding Cats

MARCH 11, 2018

If we look at the discipline of software engineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as software engineers or managers. Software engineering economics." IEEE Transactions of Software Engineering, 1 (1984): 4-21.

Software Developers 34

Software Developers Software Development Risk Management Risk 34

Leading Agile

JUNE 27, 2018

In 2012, I wrote a blog post entitled “Delivering provably-correct code.” This is not an isolated case, and most of what passes for research in software engineering is horrible. And yet, the loop appears to be an ideal rather than a reality; at least, it seems to operate only at a fraction of its potential value.

Software Review 123

Software Review Technical Review Underperforming Technical Team 2007 123

Herding Cats

JUNE 12, 2018

This McKinsey project is ongoing, with 5,400 IT projects in the database as of 2012. The link to the quote in the original book can be found here, Software Engineering and Metrics. Software engineering economics." IEEE Transactions of Software Engineering, 1 (1984): 4-21. Boehm, Barry W.

Underperforming Technical Team 40

Underperforming Technical Team Software Engineering Estimate Software Developers 40

Herding Cats

MAY 7, 2019

“Effort Estimation of Use Cases for Incremental Large-Scale Software Development,” Pareastoo Mohagheghi, Bente Anda, and Reidat Conradi, Proceedings of the 27th international conference on Software engineering. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B. 1, May 2012.

Estimate 40

Estimate Software Review Software 2012 40

Herding Cats

JUNE 12, 2018

This McKinsey project is ongoing, with 5,400 IT projects in the database as of 2012. The link to the quote in the original book can be found here, Software Engineering and Metrics. Software engineering economics." IEEE Transactions of Software Engineering, 1 (1984): 4-21. Boehm, Barry W.

Underperforming Technical Team 28

Underperforming Technical Team Software Engineering Estimate Development Team Review 28

Leading Agile

JUNE 18, 2018

People who specialize in testing software will need technical skills more-or-less on par with competent software engineers. This may be a consequence of rushing the work. There’s a desire for rapid delivery. ” This generally results in more bugs delivered in less time. There’s just no getting around it.

Software Review 101

Software Review Underperforming Technical Team Technical Review Artificial Inteligence 101

Herding Cats

NOVEMBER 7, 2016

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ‒ Steve McConnell. Software quality measurement,” Magne Jørgensen, Advances in Engineering Software 30 (1999) 907–912.

Estimate 64

Estimate 2006 2005 2013 64

MPUG

MAY 18, 2022

So I just want to let you know that the only drawback, real life drawback, is that they really haven’t updated this since about 2012. You can still get to the older features just by typing in Agile Project Management, do a search on that and it will get you to the older features.

Agile 59

Agile Underperforming Technical Team Software Review Cadence 59

Teamweek

JANUARY 23, 2020

In their words: This is an event for IT and business leaders and architects, cyber security experts, data scientists, software engineers from businesses of all sizes – including those involved in Cloud, network infrastructure, AI, DevOps, cyber security, data analytics, unified communications and IoT. Manchester, UK.

Technical Review 52

Technical Review 2020 Artificial Inteligence Software Review 52