Casino Vulcan

Winning is easy

The has taken all necessary measures to ensure the safety of the game to each participant. We have created ideal conditions, ensuring the complete secrecy of all customer transactions. The withdrawal of funds earned during the game is carried out quickly, reliably and safely. Full confidentiality is guaranteed!

Mirror Casino

Unfortunately, the desire of the supervisory authorities to impose a “paw” on any type of business requires that the organizers of the casino take appropriate measures. Not trusting the numerous overseers of the organizers of the popular game club, we have to look for opportunities to legalize our game outside the reach of the auditors. So the idea of ??creating a mirror of the Vulcan casino arose, in which all the basic principles and rules are preserved, users are given the opportunity to play in the usual format and not worry about anything. The organizers of the casino continue their activities and give everyone a lot of emotions, impressions and give a chance to win.

Mobile casino for business people

Considering the fact that many of our players are active in their business life, moving around the city a lot, doing some work, the owners of the popular playground developed a mobile version of the Vulcan casino. It practically does not differ in anything from the traditional playground. Here everything is created taking into account the shape and size of the smartphone screen, the capabilities of the operating system.

Playing for money

Of course, many players choose those slots in which you can win a large amount of money. This approach allows you not only to get a solid charge of adrenaline, but also to ensure the replenishment of your personal budget (and – for a large amount). Vulcan machines are developed by the best companies, leading European and Asian companies. The software is based on the principle of honesty, randomness and impartiality. The result is that the chances of the players and the club are almost equal.

Of course, on the site of the casino you can choose any game options, if desired, many Vulkan slot machines can be played for free. This method is ideal for people who want to just relax after a hard day’s work. Free game – a great way to work out your own, one hundred percent tactics of the game!

To see the solidity of the company, its reliability and effectiveness – read the numerous reviews about the Vulcan Casino. They will help to make sure of the reliability and effectiveness of this playground!

Volcano of Success

Mobile version of the casino Volcano of Success

Modern smartphone today does not surprise anyone, which means that you can go to the game club not only at home. Using a mobile device, you can always make a bet, test the fate of strength. Start a virtual drum and make a bet at work, at home, on the road.

In you can play for free without going through the registration procedure. Having accumulated experience, having developed tactics, having familiarized with rules, the player creates an account and tries forces in an adult game on money.

Assortment of Slot Machines Volcano of Luck

Visitors to gambling establishments, among a wide range of devices, choose to their liking, giving preference to popular manufacturers. The site presents machines from Igrosoft, NetEnt, Novomatik Gaminator, Mega Jack.

In the club Volcano Luck online slot machines can be tested for free at any time. This version of the game is chosen by beginners, who only get acquainted with the world of excitement. Automata for convenience are divided into categories, find a favorite game is not difficult.

Advantages of the Volcano Vulci game club

Volcano Luck has advantages:

  • A huge selection of slot machines.
  • The actions of the club administration, lotteries, tournaments.
  • In Volcano Good luck you can play for free, for money.
  • Easy navigation, convenient search.
  • Transparent gameplay eliminates fraud.
  • Security of financial transactions.
  • Confidentiality of personal data.

All issues arising in the course of the game are promptly solved with the help of experienced technical support staff.

Mirror Volcano of Fortune

There are force majeure circumstances when the entrance to the site is blocked. In the Volcano Vulcano Casino you can play for free and without registration in case of any unforeseen situation thanks to the official site mirror.

The exact copy of the official resource has a similar domain name. By placing the mirror in advance in advance, you can exclude any unforeseen situation related to locking. Blocking will not cause bad mood if the player uses a mirror site.

Hybrid Algorithms for the Search of Test Data in SPL – Javier Ferrer

In Software Product Lines (SPLs) it is not possible, in general, to test all products of the family. The number of products denoted by a SPL is very high due to the combinatorial explosion of features. For this reason, some coverage criteria have been proposed which try to test at least all feature interactions without the necessity to test all products, e.g., all pairs of features (pairwise coverage). In addition, it is desirable to first test products composed by a set of priority features. This problem is known as the Prioritized Pairwise Test Data Generation Problem.

In our work we propose hybrid algorithms to generate prioritized test suites. The first one is based on an integer linear formulation and the second one is based on a integer quadratic (nonlinear) formulation. We compare these techniques with two state-of-the-art algorithms, the Parallel Prioritized Genetic Solver (PPGS) and a greedy algorithm called prioritized-ICPL. Our study reveals that our hybrid nonlinear approach is clearly the best in both, solution quality and computation time.

Presentation: ferrer-SS-SBSE2017

Deep Parameter Optimisation on Android Smartphones for Energy Minimisation – Markus Wagner

With power demands of mobile devices rising, it is becoming increasingly important to make mobile software applications more energy efficient. Unfortunately, mobile platforms are diverse and very complex which makes energy behaviours difficult to model. This complexity presents challenges to the effectiveness of off-line optimisation of mobile applications. In this paper, we demonstrate that it is possible to automatically optimise an application for energy on a mobile device by evaluating energy consumption “in-vivo”. In contrast to previous work, we use only the device’s own internal meter. Our approach involves many technical challenges but represents a realistic path toward learning hardware specific energy models for program code features.

Presentation: sbse-deepparameter

Automated Software Development Support through Optimized Code History Models – Francisco Servant

Software developers regularly need to find diverse information to successfully perform their tasks. Some example of software information needs are: “why was this code implemented in this way?”, or “who has expertise in this functionality?” Unfortunately, finding such information requires high effort, and it is often found inaccurately, which not only decreases software development productivity, but it also decreases software quality. In my research, I follow the insight that many of the questions that developers ask can be answered automatically by analyzing the data that they produced in past software development tasks. I will present a series of techniques that automate the multi-revision, fine-grained analysis of source code history. These techniques provide high accuracy by optimizing code similarity over its modeled history. I will also demonstrate how these techniques help software developers to find relevant information about software development tasks efficiently and accurately.

Maintenance of the logical consistency in Cassandra – Pablo Suárez-Ótero

Contrary to the relational databases, in NoSQL databases like Cassandra is very common that duplicity of data in different tables happens. This is because usually tables are query driven (designed based on queries) and there are not any relationships between them, in order to increase the performance of the queries. Therefore, if the data is not updated on a proper way, inconsistencies in the stored information could appear. It is quite easy to introduce defaults that cause inconsistencies of the data in Cassandra, especially during the evolution of a system where new tables are created, being these ones hard to detect using conventional techniques of dynamic testing. The developer is the one responsible for the maintenance of this consistency incorporating and updating the proper procedures. In this session, a preventive approach to these problems is introduced, establishing the procedures required to ensure the quality of data from the point of view of their consistency and thus helping the developer. These procedures include a static analysis using the conceptual model, the queries and the logical model of the application. They also include the determination and execution of the operations that guarantee the consistency of the information.

Discovery of design patterns based on good practices -Rafael Barbudo

The complexity of current software systems obliges software engineers to learn about the good practices employed in previous projects. The use of design patterns is not an exception, as they can provide developers with a tool to improve the reusability and modularisation of their code. In this context, this talk will introduce a three-step prototypical model aimed at supporting software engineers to implement design patterns based on previous examples and successful experiences. This model makes use of machine learning techniques like frequent pattern mining. A suitable representation of this knowledge will allow us to identify potential code chunks which might become a design pattern.

Presentation: 2ss-sbse

Agile Effort Estimation – Natasha Nigar

Software projects that are over-budget, delivered late, and fall short of users’ expectations have been a challenge in software engineering for decades. The success or failure of a software project heavily depends on the accuracy of effort estimation. The software project cost is primarily estimated based on effort which is defined as the time taken by the software development team members for individual tasks completion. Therefore, accurate effort estimation has gained highest importance due to exponential growth of large scale software applications.
This research contributes by presenting a novel approach for effort estimation in ‘Agile Software development’ (ASD). In ASD, changes in customer requirements are proactively incorporated while delivering software projects within budget and time. We shall formulate effort estimation as the search-based problem and use computational intelligence techniques, such as evolutionary algorithms, to address following limitations in the current research for agile effort estimation.

  1. Datasets used for effort estimation contain single company projects data. We will use cross-company data to validate our model.
  2. Other than scrum and XP no other agile method was investigated. We will use KANBAN agile method in our research.
  3. We will be first to use line of code (LOC) as size metric. The benefit of this research is that it will reduce the risk of software project falling behind schedules by providing realistic estimation figures

José Antonio Parejo y Aurora Ramírez

QoS-Aware web service composition with multi-objective  evolutionary algorithms

Service-based applications often invoke web services provided by third parties in its workflow. The Quality of Service provided by service providers is usually expressed in terms of a Service Level Agreement, that specifies the cost, performance, availability, etc. In this scenario, intelligent systems can help the engineers to scrutinize the service market, in order to select those service configurations that best fit their needs.
This search problem, also known as a QoS-aware web services composition, needs to simultaneously take into account multiple quality attributes which may be in conflict. For instance, faster response time entails a higher cost. Therefore, several quality properties must be optimized simultaneously using multi-objective or many–objective approaches, which require computationally efficient algorithms.
This session presents the QoS-aware web services composition problem and its various variants, as well as a comparative experimental study of multi-objective and many-objective algorithms. Specifically, we explore the suitability of various evolutionary algorithms to address the problem on the basis of a set of real web services with 9 quality properties. It is observed that some algorithms can achieve a better balance between the quality properties, or even promote specific properties while maintaining high quality values ​​for the rest. Furthermore, this search process can be performed within a reasonable computational cost, allowing its adoption by intelligent systems and enabling decision support in the field of service-oriented computing.

Daniel Rodríguez

Software Defect Prediction in Software Engineering

In this talk, we present how data mining techniques are used to predict or rank error-prone modules in software engineering. Classifying or ranking software components according to their probability of being defective helps with the testing and maintenance phases of a project to, for example, allocate resources, prioritising modules to be tested or perform regression testing activities. We will review the publicly available datasets, machine learning techniques and some of the machine learning problems that we face during the process. On the one hand, from software engineering point of view, we need to deal with data quality and what software engineering metrics can used. On the other hand, form the data mining point of view, we may need to deal with feature selection and issues such noise and missing values, imbalanced data, and the evaluation measures of the machine learning algorithms and their comparison.