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We introduce a machine learning approach for real life software development effort estimation. Our method uses state of the art developments such as distributed word embeddings in order to create a system that can estimate effort given only basic project management metrics and, most importantly, textual descriptions of tasks. We use an artificial neural network for automating the effort estimation...
Software defined networking shifts the control plane of forwarding devices to one or more external entities known as controllers. Determining the optimal location of controllers in the network and the assignment of switches to them is widely known as controller placement problem. In case of controller failures, the switches are disconnected from the controller until they are reassigned to other active...
Software Defined Networking moves the control plane functionalities of the network elements to one or more external entities known as controllers. The controller placement problem mainly deals with determining the optimal location of the controllers and assignment of the switches to the controllers. Failure of the controllers results in disconnections between switches and controllers. These disconnected...
Open Source Software (OSS) is distributed and maintained collaboratively by developers all over the world. However, frequent personnel turnover and lack of organizational management makes it difficult to capture the actual development effort. Various OSS maintenance effort estimation approaches have been developed to provide a way to understand and estimate development effort. The goal of this study...
Trading Card Games are turn-based games involving strategic planning, synergies and rather complex gameplay. An interesting aspect of this game domain is the strong influence of their metagame: in this particular case deck-construction. Before a game starts, players select which cards from a vast card pool they want to take into the current game session, defining their available options and a great...
Agile Software Development (ASD) has been on mainstream through methodologies such as XP and Scrum enabling them to be applied in the development of complex and reliable software systems. This paper is the end result of the Master's dissertation of the main author, and proposes a solution to guide the development of complex systems based on components by adding exceptional behavior modeling practices...
Effort estimation is a project management activity that is mandatory for the execution of software projects. Despite its importance, there have been just a few studies published on such activities within the Agile Global Software Development (AGSD) context. Their aggregated results were recently published as part of a secondary study that reported the state of the art on effort estimation in AGSD...
In this mini-track, research papers and experience reports examine how agile development and lean product management interact with organizations, their structures, cultures and products.
This paper presents a method for early software reliability assessment with planning and measurement of achieved reliability improvement during the development process of the software. Early assessment models for software (SW) reliability improvement contain parameters which are estimated using the existing records of reliability improvements, as related to the software size and applied SW development...
Thanks to the advances in Artificial Intelligence (AI), and in particular in automated planning & scheduling and execution, goal-oriented controllers have being developed to test degrees of autonomy for robotics systems in challenging scenarios. Despite these efforts, there is a lack of methodology for approaching the design of deliberative systems or the choice of the critical parameters...
Like in every process model, agile processes (e.g. Scrum, eXtreme Programming) depend on accurate estimations to enable meaningful prioritization, iteration- and release planning. The emphasis of this paper is on "Planning Poker", a widely used estimation technique in agile context. The goal is to identify inaccurate effort estimates to enable more precise project scheduling and release...
Code review is a powerful activity for software quality improvement, and is ideal to review all source files being developed. However, such an exhaustive review would be difficult because the available time and effort are in reality limited. Thus, practitioners prioritize the source files in terms of bug-proneness by using related data such as bug fix history, and review them in decreasing order of...
Software development investments are always seeking low risk software development processes. Extreme programming (XP) is one of the most popular agile methodologies. Currently, increasing numbers of software companies depend on XP. This research is an attempt to build two mathematical modeling approaches in order to present and describe XP. It compares between their inputs and outputs to comprehend...
Agile software development and project management methodologies, such as Scrum and Extreme Programming, have become very popular in quickly delivering quality Functional Requirements (FRs). However, agile project management methodologies have not adequately captured planning and prioritization activities for crosscutting concerns and non-functional requirements in agile practices. This research proposes...
Scrum Teams use lightweight tools like Story Points, the Burn down chart, and Team Velocity. While essential, these tools alone provide insufficient information to maintain a high energy state that yields Hyper productivity. More data is required, but data collection itself can slow Teams. This effect must be avoided when productivity is the primary marker of success. Here we describe nine metrics...
In Software Product Line Engineering, where products are derived from a common platform, the reference architecture should be considered the main asset. In order to maintain its correctness and reliability after modifications, a regression testing approach based on architecture specification and code was developed. In this paper, we evaluate it in two different scenarios, the corrective scenario,...
As cloud diversifies into different application fields, understanding and characterizing the specific workloadsand application requirements play important roles in thedesign of efficient cloud infrastructure and system softwaresupport. Video analytic is a rapidly advancing field and it iswidely used in many application domains (i.e., health, medicalcare, surveillance, and defense). To support video...
There is consensus in the research community that agile software development methodologies, such as Scrum, are becoming more and more popular in delivering quality Functional Requirements (FRs). However, agile methodologies have not adequately modeled Non-Functional Requirements (NFRs) and their potential solutions (operationalizations) with FRs in early development phases-let alone having tools to...
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