Agile Processes in Software Engineering and Extreme by Ilenia Fronza, Alberto Sillitti, Giancarlo Succi, Jelena

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By Ilenia Fronza, Alberto Sillitti, Giancarlo Succi, Jelena Vlasenko (auth.), Alberto Sillitti, Orit Hazzan, Emily Bache, Xavier Albaladejo (eds.)

This publication includes the refereed complaints of the twelfth foreign convention on Agile software program improvement, XP 2011, held in Madrid, Spain, in may possibly 2011.

The yr 2011 marked the tenth anniversary of the Agile Manifesto. during this spirit, the XP convention persisted its wonderful culture of selling agility by means of disseminating new learn leads to a well timed demeanour and through bringing jointly researchers and practitioners for a fruitful mutual alternate of reports. As brought for XP 2010, there have been back diverse software committees, one for learn papers and one for event stories. in regards to the study papers, eleven out of fifty six submissions have been permitted as complete papers; and so far as the adventure experiences have been involved, the respective quantity used to be four out of 17 submissions. as well as those papers, this quantity additionally contains the fast examine papers, the abstracts of the posters, the location papers of the PhD symposium, and the abstracts of the workshops.

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Extra info for Agile Processes in Software Engineering and Extreme Programming: 12th International Conference, XP 2011, Madrid, Spain, May 10-13, 2011. Proceedings

Example text

Cost function has w = 1. Developers can be with no specific skill (they can work on all 4 activities), or with just one skill. In the latter case 3 developers are able to work on activity 1, and 4, 2, and 1 developers are able 24 D. Anderson et al. to work on activities 2, 3 and 4, respectively. ) The results are in ascending order of the cost function f (). The jumps represent limits able to delay the whole development, for instance a limit of 1 or 2 features in activity 2. The case with no skills is heavily penalized when penalty = 3, because developers can work in every activity, and are more prone to change the feature they work on in the next day, thus taking the penalty.

The previously presented Figure 3 was produced with it. 4 Experimentation Simulations were carried out to evaluate our proposed Feature Partitioning Method. Using the extracted historical data as an input for our proposed method made it possible to compare the release planning result of the method with the historical result [39]. In this section, first we set research questions, then we present necessary background information, and finally we interpret our findings. 36 ´ Sz˝oke A. Fig. 3. 1 Research Questions Our initial intends (P1-3) was to minimize the effects of informal communication deficiency in distributed agile environments.

The actual value,vj,k , of skill sj,k for k − th activity, where j − th developer worked for exj,k days is given by a linear interpolation, shown in eq. 3. vj,k = minj,k + (maxj,k − minj,k )exj,k , if exj,k≤maxExj,k maxExj,k maxj,k if exj,k > maxExj,k (3) Clearly, the use of another form of interpolation, such as for instance a logistic, would be easy. If we wish to simulate a system where no learning takes place, we can set minj,k = maxj,k , with maxExj,k > 0. The value of exj,k will in any case record the days j − th developer has been working on k − th activity.

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