First, let's agree on the basic premise of "sprint zero." Sprint zero is usually claimed as necessary because there are things that need to be done before a Scrum project can start. For example, a team needs to be assembled. That may involve hiring or moving people onto the project. Sometimes there is hardware to acquire or at least set up. Many projects argue for the need to write an initial product backlog (even if just at a high level) during a sprint zero.
One of the biggest problems with having a sprint zero is that it establishes a precedent that there are certain sprints or sprint types that have unique rules. Teams doing a sprint zero, for example, will dispense with the idea of having something potentially shippable at the end of that sprint. How can they have something potentially shippable after all if the goal of the sprint is to assemble the team that will develop the product?
I find that many of these things that can be used to argue for the need for a sprint zero are really best thought of as things that happen in what I call the project before the project. Before a development project begins, there is often a project to decide if there should be a development project. Before a company begins a major new initiative, someone has to think about whether that initiative should be undertaken at all.
Since Scrum works well as a general purpose project management framework, it can be used to manage the work of this project-before-the-project. During this project-before-the-project, the early team members (perhaps just a future product owner) can work toward creating an initial product backlog, finding or hiring team members, setting up the technical environment, and so on.
I find it helpful to think of this work as a project of its own because it is not hard to imagine this work taking longer than one sprint, the special sprint zero. What does a team using a sprint zero call their second sprint if they need one to do whatever work they've used to justify the special type of sprint? Is it sprint 0.5?
Mike Cohn specializes in helping companies adopt and improve their use of agile processes and techniques to build extremely high-performance teams. He is the author of User Stories Applied for Agile Software Development, Agile Estimating and Planning, and Succeeding with Agile as well as the Better User Stories video course. Mike is a founding member of the Agile Alliance and Scrum Alliance and can be reached at he...@mountaingoatsoftware.com. If you want to succeed with agile, you can also have Mike email you a short tip each week.
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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
The paper presents the wave condition acting the target beach by employing a spectral model. The spectral model is Mike 21 SW developed by the Danish Hydration Institute but the application and modification for the target beach have been done by the authors. The computation results were validated by the observed wave data and the seasonal variation of wave action was discussed. A few papers have studied the west coasts in the Black Sea and the calculation results may become useful for future planning beach nourishment. Therefore the paper is suitable as a contribution to JSME after the following revisions.
Field data are essential to evaluate the accuracy of the model results. In this work, the Coastal Gauge (MEDA) Mangalia buoy maintained by GeoEcoMar (National Research and Development Institute for Marine Geology and Geo-ecology) was used for the model calibration and validation. The buoy is located at latitude 43.802176 N, and longitude 29.602483 E [WGS84] at a depth of 15 m (see Figure 1). The measurements were made in the framework of the project "Marine Pollution Oriented Marine Policies - PERSEUS" from OCEAN 2011-3, "Assessing and predicting the combined effects of natural and human pressures in the Mediterranean and the Black Sea for better their administration ". The project has been finished, but the wave measurement instruments installed continue to operate the data series recorded can be viewed using a specific FlowQuest 1000 + Wave program, both online and offline [22].
Based on the results presented in this study it can be concluded that using the Mike 21 SW model, forced with boundary conditions provided by SWAN model, reliable simulations of the wave conditions near to Mangalia harbor have been obtained after the calibration of the model. The wave parameters simulated by Mike 21 SW have been compared with the measurements obtained from MEDA buoy maintained by GeoEcoMar. The statistical parameters show a good agreement between both data.
The Black Sea being an enclosed sea with limited fetches, the predominant type of waves is seas that are affected by the local wind. It was observed that in winter, when the wind speeds are higher and with a high variability of the mean direction, the beach is affected by greater erosion and result in two different beach profiles.
During the winter months (especially in January) the storms are more frequent and the wave height increases (being influenced by the changes in wind direction and wind speed) to near mid spring. This leads to the formation of beach berms, shaping the beach in a more concave shape. At the same time, offshore sandbanks are formed during the winter, which subsequently helps protect the beach by breaking waves off the coast.
Also during the year 2016, towards the end of the spring and during the summer and autumn months, the smaller and calmer waves dominated, the sand slowly turning back to the beach. Beaches and dunes are usually recovered if sediments are not lost at sea.
Abstract: The objective of this paper is to present an integrated picture of the relationship between the waves and the modifications induced by them in the Romanian shoreline. Thus, the hydrodynamic processes at the Mangalia beaches, located in the southern side of the Romanian nearshore, are simulated using the modeling system Mike 21 SW developed by DHI. This is one of the newest spectral wave models, which can be used for regional and local scale simulations. The model has been calibrated and validated using buoy measurements. The analysis of the statistical parameters shows a good match between the model and the observed data. Furthermore, a model to compare the differences that occur between the cold and warm seasons on the beach profiles was developed. The results obtained indicated a reinforce of the coastal erosion in the winter when the waves are stronger (especially in January, February).
Comment 2: The introduction does not introduce the topic, does not create context and background and it contains details of the case study that should be in an other section.
Hydrodynamic processes occurring in the marine environment are a consequence of the complex interaction between sea and atmosphere, the waves being generated by the wind interaction with the sea surface [1]. For this reason, the system evolution and phenomena occurring along the coastline are difficult to be simulated with numerical models and a proper implementation of the wave models is very important [2]. Prediction of the sea state conditions in the proximity of the coastline is quite difficult due to various processes of the wave transformation, which are influenced among others by the bathymetry of the area, the location of the hydrotechnical structures and the regime of wind and currents [3].
Numerical models are essential tools to simulate the wave conditions in coastal areas, providing information on the wave climate that are helping the design of the coastal structures, which can protect the coastal areas during the extreme events. During the time, the coastal environments have been often the subject of several spectral wave models for various studies related to wave hindcast or forecast. The model MIKE 21 SW (MIKE 21 Spectral Waves) is one of the newest spectral wave models used to simulate the physical processes related to the generation and transformation of the wind waves [4]. A calibration and validation of the wave model results is necessary to ensure that reliable information is obtained and at this step, some obstacles occur due to difficulties to obtain the field data. The measurements are also important to obtain information regarding the wave climate in a location/area and about the evolution of the coastal erosion phenomenon that intensifies and threatens the inhabited areas.
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